first commit - demo version w\o bbox
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KneronPLUS-3.1.0-py3-none-any.whl
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KneronPLUS-3.1.0-py3-none-any.whl
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README.md
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<!-- main page
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1. -> example (python code) -> 讀 folder 檔案 -> 選
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-> 抓 camera -> -i image -m model
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2. run code -->
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<!-- config for python script 需要有以下的資料:
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1. function name to display
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2. script name
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3. device availibility (considering if the script name doesn't consist dongle type)
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4. model's name
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5. input information (frames, images, voice etc.)
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6. input parameters
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7. output parameters -->
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# Innovedus AI Playground
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這個應用程式是一個 AI Playground，用於通過相機鏡頭或使用者上傳圖片進行推論（例如火災檢測）。應用程式基於 Python、PyQt5、OpenCV 以及 Kneron SDK（kp）開發，支援 Video 模式與 Image 模式。
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---
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## 目錄
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- [安裝設定](#安裝設定)
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- [專案架構](#專案架構)
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- [功能概述](#功能概述)
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## 安裝設定
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- Install python 3.12 and kneron plus
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``` shell
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# This shell script only install Kneron plus
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cd ./external/kneron_plus_{version}/package/{platform}/
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pip install KneronPLUS-{version}-py3-none-any.whl
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# if the above command doesn't work
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pip install --force-reinstall KneronPLUS-{version}-py3-none-any.whl
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```
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- PyQT5 and other packages
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``` shell
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pip install PyQt5 opencv-python pyinstaller pyarmor
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```
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- test APP in local
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``` shell
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python main.py
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```
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## 專案架構
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```
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project/
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|- main.py
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|- src/
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|- config.py
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|- controllers/
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|- device_controllers.py
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|- model_controllers.py
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|- views/
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|- mainwindow.py # 主視窗邏輯
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|- utils/
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|- file_utils.py # 文件工具
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|- image_utils.py # 圖像工具
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|- services/
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|- device_service.py # 設備服務
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|- model_service.py # 模型服務
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|- models/
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|- uxui/
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|- tests/
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|- unit/
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|- integration/
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```
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```
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upload/
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└── photos, videos, or mp3 files
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utils/
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└── plugins/
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├── mode1/
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│ ├── model1/
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│ │ ├── script.py
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│ │ ├── model_file(s)
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│ │ └── config.json
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│ └── model2/
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│ ├── script.py
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│ ├── model_file(s)
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│ └── config.json
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└── mode2/
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├── model1/
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│ ├── script.py
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│ ├── model_file(s)
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│ └── config.json
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└── model2/
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├── script.py
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├── model_file(s)
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└── config.json
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└──firmware\
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├── KLXXX/
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│ ├── fw_scpu.bin
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│ ├── fw_ncpu.bin
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│ ├── VERSION
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│ └── other files
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├── KLXXX/
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├── fw_scpu.bin
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├── fw_ncpu.bin
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├── VERSION
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└── other files
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└──config.json
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└──REAMDE.md
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```
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## 功能概述
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- **Video 模式**：啟動相機持續捕捉影像，並將每一幀以 NumPy 陣列格式傳入推論模組進行即時推論。
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- **Image 模式**：使用者上傳圖片後，讀取圖片並將其以 NumPy 陣列格式放入推論佇列，僅進行一次推論。
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---
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## 輸入資料格式
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### 相機影像
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- **捕捉方式**：使用 OpenCV 從相機捕捉影像。
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- **轉換流程**：
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1. 影像先以 QImage 格式傳回。
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2. 透過 `qimage_to_numpy(qimage)` 函式轉換為 NumPy 陣列。
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- **格式**：NumPy 陣列，形狀為 `(height, width, 3)`，通道順序為 RGB888。
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### 上傳圖片
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- **讀取方式**：使用 OpenCV 的 `cv2.imread()` 讀取上傳的圖片。
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- **格式**：產生的圖片也是一個 NumPy 陣列（通常是 BGR 格式），後續推論模組可進一步進行預處理轉換。
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---
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## 參數傳遞與設定
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### input_params 的組成
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主應用程式會組合一個 `input_params` 字典，並將該字典傳遞給推論模組。此字典中可能包含以下鍵值：
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- `usb_port_id`：選取的 dongle 的 USB port ID。
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- `fw_folder`：全域 Firmware 資料夾路徑（FW_DIR）。
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- `scpu_path` 與 `ncpu_path`：根據選取的 dongle 型號，組合出的 firmware 檔案路徑。
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- `file_path`：上傳圖片的完整路徑（image/voice 模式下使用）。
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- `model`：從工具配置中讀取的模型檔案名稱，經由路徑組合後形成完整的模型路徑。
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**範例**：
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```python
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{
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"usb_port_id": 32,
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"scpu_path": "C:\\...\\firmware\\KL520\\fw_scpu.bin",
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"ncpu_path": "C:\\...\\firmware\\KL520\\fw_ncpu.bin",
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"fw_folder": "C:\\...\\firmware",
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"file_path": "C:\\...\\uploads\\fire5.jpeg",
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"model": "src\\utils\\models\\fire_detection_520.nef"
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}
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```
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## APP 打包
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目前是使用 Pyinstaller 來進行打包的動作 可以根據以下的指令進行打包
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#### 下方的add-data需要根據你要包入的資料設定，最後一個則是需要把 kp 包進 exe 檔中，需要去 conda 的 env 資料夾中找對應的 kp\lib 資料夾
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```shell
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pyinstaller --onefile --windowed main.py --additional-hooks-dir=hooks --add-data "uxui;uxui" --add-data "src;src" --add-data "C:\Users\mason\miniconda3\envs\resnet\Lib\site-packages\kp\lib;kp\lib"
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```
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## APP資料加密
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目前預計使用 [pyarmor](https://github.com/dashingsoft/pyarmor) 進行加密
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This file lists modules PyInstaller was not able to find. This does not
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necessarily mean this module is required for running your program. Python and
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Python 3rd-party packages include a lot of conditional or optional modules. For
|
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example the module 'ntpath' only exists on Windows, whereas the module
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'posixpath' only exists on Posix systems.
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Types if import:
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* top-level: imported at the top-level - look at these first
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* conditional: imported within an if-statement
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* delayed: imported within a function
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* optional: imported within a try-except-statement
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IMPORTANT: Do NOT post this list to the issue-tracker. Use it as a basis for
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tracking down the missing module yourself. Thanks!
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missing module named pwd - imported by posixpath (delayed, conditional, optional), shutil (delayed, optional), tarfile (optional), pathlib (delayed, optional), subprocess (delayed, conditional, optional), http.server (delayed, optional), netrc (delayed, conditional), getpass (delayed)
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missing module named grp - imported by shutil (delayed, optional), tarfile (optional), pathlib (delayed, optional), subprocess (delayed, conditional, optional)
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missing module named _posixsubprocess - imported by subprocess (conditional), multiprocessing.util (delayed)
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missing module named fcntl - imported by subprocess (optional)
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missing module named _frozen_importlib_external - imported by importlib._bootstrap (delayed), importlib (optional), importlib.abc (optional), zipimport (top-level)
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excluded module named _frozen_importlib - imported by importlib (optional), importlib.abc (optional), zipimport (top-level)
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missing module named posix - imported by os (conditional, optional), shutil (conditional), importlib._bootstrap_external (conditional), posixpath (optional)
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missing module named resource - imported by posix (top-level)
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missing module named _posixshmem - imported by multiprocessing.resource_tracker (conditional), multiprocessing.shared_memory (conditional)
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missing module named _scproxy - imported by urllib.request (conditional)
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missing module named termios - imported by tty (top-level), getpass (optional)
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missing module named multiprocessing.BufferTooShort - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
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missing module named multiprocessing.AuthenticationError - imported by multiprocessing (top-level), multiprocessing.connection (top-level)
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missing module named multiprocessing.get_context - imported by multiprocessing (top-level), multiprocessing.pool (top-level), multiprocessing.managers (top-level), multiprocessing.sharedctypes (top-level)
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missing module named multiprocessing.TimeoutError - imported by multiprocessing (top-level), multiprocessing.pool (top-level)
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missing module named multiprocessing.set_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
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missing module named multiprocessing.get_start_method - imported by multiprocessing (top-level), multiprocessing.spawn (top-level)
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missing module named pyimod02_importers - imported by C:\Users\mason\miniconda3\envs\resnet\Lib\site-packages\PyInstaller\hooks\rthooks\pyi_rth_pkgutil.py (delayed)
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missing module named _dummy_thread - imported by numpy._core.arrayprint (optional)
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missing module named 'numpy_distutils.cpuinfo' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
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missing module named 'numpy_distutils.fcompiler' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
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missing module named 'numpy_distutils.command' - imported by numpy.f2py.diagnose (delayed, conditional, optional)
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missing module named numpy_distutils - imported by numpy.f2py.diagnose (delayed, optional)
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missing module named vms_lib - imported by platform (delayed, optional)
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missing module named 'java.lang' - imported by platform (delayed, optional)
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missing module named java - imported by platform (delayed)
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missing module named _winreg - imported by platform (delayed, optional)
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missing module named psutil - imported by numpy.testing._private.utils (delayed, optional)
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missing module named win32evtlog - imported by logging.handlers (delayed, optional)
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missing module named win32evtlogutil - imported by logging.handlers (delayed, optional)
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missing module named startup - imported by pyreadline3.keysyms.common (conditional), pyreadline3.keysyms.keysyms (conditional)
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missing module named sets - imported by pyreadline3.keysyms.common (optional)
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missing module named System - imported by pyreadline3.clipboard.ironpython_clipboard (top-level), pyreadline3.keysyms.ironpython_keysyms (top-level), pyreadline3.console.ironpython_console (top-level), pyreadline3.rlmain (conditional)
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missing module named console - imported by pyreadline3.console.ansi (conditional)
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missing module named clr - imported by pyreadline3.clipboard.ironpython_clipboard (top-level), pyreadline3.console.ironpython_console (top-level)
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missing module named IronPythonConsole - imported by pyreadline3.console.ironpython_console (top-level)
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missing module named win32pdh - imported by numpy.testing._private.utils (delayed, conditional)
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missing module named asyncio.DefaultEventLoopPolicy - imported by asyncio (delayed, conditional), asyncio.events (delayed, conditional)
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missing module named pyodide_js - imported by threadpoolctl (delayed, optional)
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missing module named numpy._core.zeros - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.vstack - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
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missing module named numpy._core.void - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.vecmat - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.vecdot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.ushort - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.unsignedinteger - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.ulonglong - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.uintp - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.uintc - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.uint64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
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missing module named numpy._core.uint32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
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missing module named numpy._core.uint16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
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missing module named numpy._core.uint - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.ubyte - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.trunc - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.true_divide - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.transpose - imported by numpy._core (top-level), numpy.lib._function_base_impl (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.trace - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.timedelta64 - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.tensordot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.tanh - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.tan - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.swapaxes - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.sum - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.subtract - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.str_ - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.square - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.sqrt - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
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missing module named numpy._core.spacing - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.sort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.sinh - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.single - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.signedinteger - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.signbit - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
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missing module named numpy._core.sign - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.short - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.rint - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.right_shift - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.result_type - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional), numpy.fft._pocketfft (top-level)
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missing module named numpy._core.remainder - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.reciprocal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
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missing module named numpy._core.radians - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.rad2deg - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.prod - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.power - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.positive - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.pi - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.outer - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.ones - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
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missing module named numpy._core.object_ - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
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missing module named numpy._core.number - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
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missing module named numpy._core.not_equal - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.newaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
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missing module named numpy._core.negative - imported by numpy._core (conditional), numpy (conditional)
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missing module named numpy._core.ndarray - imported by numpy._core (top-level), numpy.lib._utils_impl (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
|
||||
missing module named numpy._core.multiply - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.moveaxis - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.modf - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.mod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.minimum - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.maximum - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.max - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.matrix_transpose - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.matvec - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.matmul - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.longdouble - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.long - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_xor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_or - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_not - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logical_and - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logaddexp2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.logaddexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log1p - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.log - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.linspace - imported by numpy._core (top-level), numpy.lib._index_tricks_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.less_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.less - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.left_shift - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ldexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.lcm - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.isscalar - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.isnat - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
|
||||
missing module named numpy._core.isnan - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.isfinite - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.intp - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.integer - imported by numpy._core (conditional), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.intc - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.int8 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int32 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.int16 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.inf - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.inexact - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.iinfo - imported by numpy._core (top-level), numpy.lib._twodim_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.hypot - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.hstack - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.heaviside - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.half - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.greater_equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.greater - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.gcd - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.frompyfunc - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.frexp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmin - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.fmax - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floor_divide - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.floating - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.float_power - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.float32 - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.float16 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.finfo - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.fabs - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.expm1 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.exp - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.euler_gamma - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.errstate - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.equal - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.empty_like - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.empty - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.e - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.double - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.dot - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.divmod - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.divide - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.diagonal - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.degrees - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.deg2rad - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.datetime64 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.csingle - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cross - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.count_nonzero - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cosh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.cos - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.copysign - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.conjugate - imported by numpy._core (conditional), numpy (conditional), numpy.fft._pocketfft (top-level)
|
||||
missing module named numpy._core.conj - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.complexfloating - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.complex64 - imported by numpy._core (conditional), numpy (conditional), numpy._array_api_info (top-level)
|
||||
missing module named numpy._core.clongdouble - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.character - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.ceil - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.cdouble - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.cbrt - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bytes_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.byte - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bool_ - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_xor - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_or - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_count - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.bitwise_and - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.atleast_3d - imported by numpy._core (top-level), numpy.lib._shape_base_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.atleast_2d - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.atleast_1d - imported by numpy._core (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.asarray - imported by numpy._core (top-level), numpy.lib._array_utils_impl (top-level), numpy.linalg._linalg (top-level), numpy (conditional), numpy.fft._pocketfft (top-level), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.asanyarray - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.array_repr - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional)
|
||||
missing module named numpy._core.array2string - imported by numpy._core (delayed), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.array - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (top-level), numpy.lib._polynomial_impl (top-level), numpy (conditional)
|
||||
missing module named numpy._core.argsort - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.arctanh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arctan2 - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arctan - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arcsinh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arcsin - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arccosh - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arccos - imported by numpy._core (conditional), numpy (conditional)
|
||||
missing module named numpy._core.arange - imported by numpy._core (top-level), numpy.testing._private.utils (top-level), numpy (conditional), numpy.fft._helper (top-level)
|
||||
missing module named numpy._core.amin - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.amax - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._core.all - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy.testing._private.utils (delayed), numpy (conditional)
|
||||
missing module named numpy._core.add - imported by numpy._core (top-level), numpy.linalg._linalg (top-level), numpy (conditional)
|
||||
missing module named numpy._distributor_init_local - imported by numpy (optional), numpy._distributor_init (optional)
|
||||
21683
build/main/xref-main.html
Normal file
21683
build/main/xref-main.html
Normal file
File diff suppressed because it is too large
Load Diff
1373
demogui/examples/declutter_520.ipynb
Normal file
1373
demogui/examples/declutter_520.ipynb
Normal file
File diff suppressed because it is too large
Load Diff
142
demogui/examples/gui_test.py
Normal file
142
demogui/examples/gui_test.py
Normal file
@ -0,0 +1,142 @@
|
||||
import os
|
||||
import kp
|
||||
import shutil
|
||||
import sys
|
||||
from PyQt5.QtWidgets import QApplication, QMainWindow, QTextEdit, QVBoxLayout, QWidget, QPushButton, QFileDialog, QHBoxLayout
|
||||
from utils import preprocess_image, perform_inference, post_process_inference, process_image, cosine_similarity, compare_images_cosine_similarity, cluster_images_with_dbscan, list_image_files
|
||||
|
||||
|
||||
class ConsoleWindow(QMainWindow):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.setWindowTitle("Demo Console")
|
||||
self.setGeometry(100, 100, 600, 400)
|
||||
|
||||
# Console area for log messages
|
||||
self.text_edit = QTextEdit(self)
|
||||
self.text_edit.setReadOnly(True)
|
||||
|
||||
# Button to start the declutter process
|
||||
self.start_button = QPushButton("Select Directories and Start")
|
||||
self.start_button.clicked.connect(self.select_directories_and_start)
|
||||
|
||||
# Layout setup
|
||||
layout = QVBoxLayout()
|
||||
layout.addWidget(self.text_edit)
|
||||
layout.addWidget(self.start_button)
|
||||
container = QWidget()
|
||||
container.setLayout(layout)
|
||||
self.setCentralWidget(container)
|
||||
|
||||
# Variables to store directory paths
|
||||
self.input_directory = ''
|
||||
self.to_keep_directory = ''
|
||||
self.to_delete_directory = ''
|
||||
|
||||
def print_message(self, message):
|
||||
self.text_edit.append(message)
|
||||
QApplication.processEvents() # Update the GUI immediately
|
||||
|
||||
def select_directories_and_start(self):
|
||||
# Open directory dialog to select directories
|
||||
self.input_directory = QFileDialog.getExistingDirectory(self, "Select Input Directory")
|
||||
self.to_keep_directory = QFileDialog.getExistingDirectory(self, "Select 'To Keep' Directory")
|
||||
self.to_delete_directory = QFileDialog.getExistingDirectory(self, "Select 'To Delete' Directory")
|
||||
|
||||
if self.input_directory and self.to_keep_directory and self.to_delete_directory:
|
||||
self.print_message(f"Selected directories:\nInput: {self.input_directory}\nTo Keep: {self.to_keep_directory}\nTo Delete: {self.to_delete_directory}")
|
||||
declutter_photo_album(self.input_directory, self.to_keep_directory, self.to_delete_directory, self)
|
||||
|
||||
def declutter_photo_album(input_directory, to_keep_directory, to_delete_directory, console):
|
||||
def log(message):
|
||||
console.print_message(message)
|
||||
|
||||
log("CONNECTING DEVICE")
|
||||
|
||||
DECLUTTER_MODEL_FILE_PATH = './resnet34_feature_extractor.nef'
|
||||
PHOTO_QUALITY_SCORER_PATH = './photo_scorer_520.nef'
|
||||
|
||||
# Ensure output directories exist
|
||||
os.makedirs(input_directory, exist_ok=True)
|
||||
os.makedirs(to_keep_directory, exist_ok=True)
|
||||
os.makedirs(to_delete_directory, exist_ok=True)
|
||||
|
||||
# Scan for devices
|
||||
device_descriptors = kp.core.scan_devices()
|
||||
if device_descriptors.device_descriptor_number > 0:
|
||||
usb_port_id = device_descriptors.device_descriptor_list[0].usb_port_id
|
||||
log(f"Device connected at USB port ID: {usb_port_id}")
|
||||
else:
|
||||
log('Error: no Kneron device connected.')
|
||||
return
|
||||
|
||||
# Connect to device
|
||||
device_group = kp.core.connect_devices(usb_port_ids=[22])
|
||||
kp.core.set_timeout(device_group=device_group, milliseconds=5000)
|
||||
|
||||
SCPU_FW_PATH = '../../res/firmware/KL520/fw_scpu.bin'
|
||||
NCPU_FW_PATH = '../../res/firmware/KL520/fw_ncpu.bin'
|
||||
kp.core.load_firmware_from_file(device_group=device_group,
|
||||
scpu_fw_path=SCPU_FW_PATH,
|
||||
ncpu_fw_path=NCPU_FW_PATH)
|
||||
|
||||
# Filter low-quality images
|
||||
log("FILTERING LOW QUALITY IMAGES")
|
||||
model_nef_descriptor = kp.core.load_model_from_file(device_group=device_group,
|
||||
file_path=PHOTO_QUALITY_SCORER_PATH)
|
||||
to_keep_images = []
|
||||
images = list_image_files(input_directory)
|
||||
for image_file_path in images:
|
||||
score = process_image(device_group, model_nef_descriptor, image_file_path)
|
||||
log(f"Image: {image_file_path}, Score: {score}")
|
||||
if score > 0.5:
|
||||
log(" Low quality: recommend to delete")
|
||||
shutil.copy(image_file_path, to_delete_directory)
|
||||
else:
|
||||
log(" Accepted quality image")
|
||||
to_keep_images.append(image_file_path)
|
||||
|
||||
# Compare photo similarity
|
||||
log("COMPARING PHOTO SIMILARITY")
|
||||
model_nef_descriptor = kp.core.load_model_from_file(device_group=device_group,
|
||||
file_path=DECLUTTER_MODEL_FILE_PATH)
|
||||
|
||||
images = to_keep_images
|
||||
clusters = cluster_images_with_dbscan(images, device_group, model_nef_descriptor)
|
||||
|
||||
# Organize clustered images into directories
|
||||
for cluster_index, cluster in enumerate(clusters):
|
||||
cluster_dir = os.path.join(to_delete_directory, f"cluster_{cluster_index}")
|
||||
os.makedirs(cluster_dir, exist_ok=True)
|
||||
log(f"Cluster #{cluster_index}")
|
||||
for image_file_path in cluster:
|
||||
log(image_file_path)
|
||||
shutil.copy(image_file_path, cluster_dir)
|
||||
|
||||
# Move images not in any cluster to 'to_keep' directory
|
||||
non_clustered_images = set(images) - set(img for cluster in clusters for img in cluster)
|
||||
for image_file_path in non_clustered_images:
|
||||
shutil.copy(image_file_path, to_keep_directory)
|
||||
|
||||
# Decide which photos to keep in clusters
|
||||
log("DECIDING WHICH PHOTO TO KEEP")
|
||||
for cluster_index, cluster in enumerate(clusters):
|
||||
cluster_scores = []
|
||||
for image_file_path in cluster:
|
||||
score = process_image(device_group, model_nef_descriptor, image_file_path)
|
||||
cluster_scores.append((image_file_path, score))
|
||||
|
||||
# Sort by score in descending order and keep the top 2
|
||||
cluster_scores.sort(key=lambda x: x[1], reverse=True)
|
||||
top_photos = cluster_scores[:2]
|
||||
|
||||
log(f"In cluster {cluster_index}")
|
||||
for image_file_path, _ in top_photos:
|
||||
log(f"Keep image: {image_file_path}")
|
||||
shutil.copy(image_file_path, to_keep_directory)
|
||||
|
||||
if __name__ == "__main__":
|
||||
app = QApplication(sys.argv)
|
||||
console = ConsoleWindow()
|
||||
console.show()
|
||||
sys.exit(app.exec_())
|
||||
296
demogui/examples/photo_quality_520.ipynb
Normal file
296
demogui/examples/photo_quality_520.ipynb
Normal file
@ -0,0 +1,296 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"## Demo"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Set Up\n",
|
||||
"prerequisites\n",
|
||||
"- python 3.12\n",
|
||||
"\n",
|
||||
"``` shell\n",
|
||||
"$ cd ./package/{platform}/\n",
|
||||
"$ pip install KneronPLUS-2.3.0-py3-none-any.whl\n",
|
||||
"$ pip install --force-reinstall KneronPLUS-2.3.0-py3-none-any.whl\n",
|
||||
"$ pip install opencv-pythn\n",
|
||||
"\n",
|
||||
"```"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Connect KL520"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import cv2\n",
|
||||
"import kp"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"22\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"device_descriptors = kp.core.scan_devices()\n",
|
||||
"\n",
|
||||
"if 0 < device_descriptors.device_descriptor_number:\n",
|
||||
" usb_port_id = device_descriptors.device_descriptor_list[0].usb_port_id\n",
|
||||
" print(usb_port_id)\n",
|
||||
"else:\n",
|
||||
" print('Error: no Kneron device connect.')\n",
|
||||
" exit(0)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"device_group = kp.core.connect_devices(usb_port_ids=[22])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"kp.core.set_timeout(device_group=device_group,\n",
|
||||
" milliseconds=5000)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### Load firmware, model, and test image"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"SCPU_FW_PATH = '../../res/firmware/KL520/fw_scpu.bin'\n",
|
||||
"NCPU_FW_PATH = '../../res/firmware/KL520/fw_ncpu.bin'\n",
|
||||
"kp.core.load_firmware_from_file(device_group=device_group,\n",
|
||||
" scpu_fw_path=SCPU_FW_PATH,\n",
|
||||
" ncpu_fw_path=NCPU_FW_PATH)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"MODEL_FILE_PATH = './photo_scorer_520.nef'\n",
|
||||
"model_nef_descriptor = kp.core.load_model_from_file(device_group=device_group,\n",
|
||||
" file_path=MODEL_FILE_PATH)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### pre-processing"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"IMAGE_FILE_PATH = './test.jpg'\n",
|
||||
"\n",
|
||||
"img = cv2.imread(filename=IMAGE_FILE_PATH)\n",
|
||||
"img_bgr565 = cv2.cvtColor(src=img, code=cv2.COLOR_BGR2BGR565)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"generic_inference_input_descriptor = kp.GenericImageInferenceDescriptor(\n",
|
||||
" model_id=model_nef_descriptor.models[0].id,\n",
|
||||
" inference_number=0,\n",
|
||||
" input_node_image_list=[\n",
|
||||
" kp.GenericInputNodeImage(\n",
|
||||
" image=img_bgr565,\n",
|
||||
" image_format=kp.ImageFormat.KP_IMAGE_FORMAT_RGB565,\n",
|
||||
" resize_mode=kp.ResizeMode.KP_RESIZE_ENABLE,\n",
|
||||
" padding_mode=kp.PaddingMode.KP_PADDING_CORNER,\n",
|
||||
" normalize_mode=kp.NormalizeMode.KP_NORMALIZE_KNERON\n",
|
||||
" )\n",
|
||||
" ]\n",
|
||||
")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"{\n",
|
||||
" \"header\": {\n",
|
||||
" \"inference_number\": 0,\n",
|
||||
" \"crop_number\": 0,\n",
|
||||
" \"num_output_node\": 1,\n",
|
||||
" \"product_id\": 256,\n",
|
||||
" \"num_hw_pre_proc_info\": 1,\n",
|
||||
" \"hw_pre_proc_info_list\": {\n",
|
||||
" \"0\": {\n",
|
||||
" \"img_width\": 1200,\n",
|
||||
" \"img_height\": 800,\n",
|
||||
" \"resized_img_width\": 224,\n",
|
||||
" \"resized_img_height\": 149,\n",
|
||||
" \"pad_top\": 0,\n",
|
||||
" \"pad_bottom\": 75,\n",
|
||||
" \"pad_left\": 0,\n",
|
||||
" \"pad_right\": 0,\n",
|
||||
" \"model_input_width\": 224,\n",
|
||||
" \"model_input_height\": 224,\n",
|
||||
" \"crop_area\": {\n",
|
||||
" \"crop_box_index\": 0,\n",
|
||||
" \"x\": 0,\n",
|
||||
" \"y\": 0,\n",
|
||||
" \"width\": 0,\n",
|
||||
" \"height\": 0\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" }\n",
|
||||
" },\n",
|
||||
" \"raw_result\": {\n",
|
||||
" \"buffer_size\": 388\n",
|
||||
" }\n",
|
||||
"}\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"kp.inference.generic_image_inference_send(device_group=device_group,\n",
|
||||
" generic_inference_input_descriptor=generic_inference_input_descriptor)\n",
|
||||
"generic_raw_result = kp.inference.generic_image_inference_receive(device_group=device_group)\n",
|
||||
"print(generic_raw_result)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"[{\n",
|
||||
" \"width\": 1,\n",
|
||||
" \"height\": 1,\n",
|
||||
" \"channel\": 1,\n",
|
||||
" \"channels_ordering\": \"ChannelOrdering.KP_CHANNEL_ORDERING_CHW\",\n",
|
||||
" \"num_data\": 1,\n",
|
||||
" \"ndarray\": [\n",
|
||||
" \"[[[[0.71443015]]]]\"\n",
|
||||
" ]\n",
|
||||
"}]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"inf_node_output_list = []\n",
|
||||
"\n",
|
||||
"for node_idx in range(generic_raw_result.header.num_output_node):\n",
|
||||
" inference_float_node_output = kp.inference.generic_inference_retrieve_float_node(node_idx=node_idx,\n",
|
||||
" generic_raw_result=generic_raw_result,\n",
|
||||
" channels_ordering=kp.ChannelOrdering.KP_CHANNEL_ORDERING_CHW)\n",
|
||||
" inf_node_output_list.append(inference_float_node_output)\n",
|
||||
"\n",
|
||||
"print(inf_node_output_list)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"### post-processing\n",
|
||||
"Kneron PLUS python version doesn't support on-NPU post-processing, so this step is demonstrated here"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 23,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"The score of this photo is 0.7144301533699036\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import numpy as np\n",
|
||||
"\n",
|
||||
"nd_array = inf_node_output_list[0].ndarray\n",
|
||||
"number = float(nd_array.flatten()[0])\n",
|
||||
"\n",
|
||||
"print(\"The score of this photo is\", number)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
720
demogui/main.py
Normal file
720
demogui/main.py
Normal file
@ -0,0 +1,720 @@
|
||||
import kp
|
||||
import cv2, os, shutil, sys
|
||||
from enum import Enum
|
||||
from PyQt5.QtWidgets import (QApplication, QWidget, QVBoxLayout, QLabel, QPushButton,
|
||||
QComboBox, QFileDialog, QMessageBox, QHBoxLayout, QDialog, QListWidget,
|
||||
QScrollArea, QFrame, QListWidgetItem, QTextEdit)
|
||||
from PyQt5.QtSvg import QSvgWidget
|
||||
from PyQt5.QtMultimedia import QCamera, QCameraImageCapture, QCameraInfo, QMediaRecorder, QAudioRecorder
|
||||
from PyQt5.QtMultimediaWidgets import QVideoWidget
|
||||
from PyQt5.QtGui import QPixmap, QMovie
|
||||
from PyQt5.QtCore import Qt, QTimer, QUrl
|
||||
|
||||
# Global Constants
|
||||
UXUI_ASSETS = "../../uxui/"
|
||||
WINDOW_SIZE = (1200, 900)
|
||||
BACKGROUND_COLOR = "#143058"
|
||||
SECONDARY_COLOR = "#1260E6"
|
||||
DEVICE_BOX_STYLE = f"background-color: {BACKGROUND_COLOR}; padding: 20px; border-radius: 20px; padding: 10px 20px;"
|
||||
BUTTON_STYLE = """
|
||||
QPushButton {
|
||||
background: transparent;
|
||||
color: white;
|
||||
border: 1px solid white;
|
||||
border-radius: 20px;
|
||||
padding: 10px 20px;
|
||||
}
|
||||
QPushButton:hover {
|
||||
background-color: rgba(255, 255, 255, 50);
|
||||
}
|
||||
QPushButton:pressed {
|
||||
background-color: rgba(255, 255, 255, 100);
|
||||
}
|
||||
"""
|
||||
SQUARE_BUTTON_STYLE = "background: transparent; color: white; border: 1px transparent; border-radius: 10px; "
|
||||
POPUP_SIZE_RATIO = 0.67
|
||||
NO_DEVICE_GIF = UXUI_ASSETS + "no_device_temp.gif"
|
||||
|
||||
|
||||
class MainWindow(QWidget):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
self.init_ui()
|
||||
self.model_buttons = [
|
||||
('Face Detection', self.run_face_detection),
|
||||
('Gender/Age Detection', self.run_gender_age_detection),
|
||||
('Object Detection', self.run_object_detection),
|
||||
('Mask Detection', self.run_mask_detection),
|
||||
('Image Project', self.start_image_project),
|
||||
('Upload Model', self.upload_model)
|
||||
]
|
||||
|
||||
self.connected_devices = [
|
||||
]
|
||||
|
||||
self.input_directory = ""
|
||||
self.to_keep_directory = ""
|
||||
self.to_delete_directory = ""
|
||||
self.image_directory = ""
|
||||
self.label_directory = ""
|
||||
|
||||
self.video_widget = QVideoWidget(self)
|
||||
self.camera = QCamera(QCameraInfo.defaultCamera())
|
||||
self.image_capture = QCameraImageCapture(self.camera)
|
||||
self.media_recorder = QMediaRecorder(self.camera)
|
||||
self.audio_recorder = QAudioRecorder(self)
|
||||
self.camera.setViewfinder(self.video_widget)
|
||||
|
||||
self.right_layout = QVBoxLayout()
|
||||
self.left_layout = QVBoxLayout()
|
||||
|
||||
|
||||
# TODO: find the correct mapping of the values
|
||||
class K_(Enum):
|
||||
KL520 = 256
|
||||
KL720 = 720
|
||||
KL720_L = 512 #legacy
|
||||
KL530 = 530
|
||||
KL832 = 832
|
||||
KL730 = 732
|
||||
KL630 = 630
|
||||
KL540 = 540
|
||||
|
||||
|
||||
def init_ui(self):
|
||||
self.setGeometry(100, 100, *WINDOW_SIZE)
|
||||
self.setWindowTitle('Innovedus AI Playground')
|
||||
self.setStyleSheet(f"background-color: {BACKGROUND_COLOR};")
|
||||
self.layout = QVBoxLayout(self)
|
||||
|
||||
self.show_welcome_label()
|
||||
QTimer.singleShot(5000, self.show_device_popup_and_main_page)
|
||||
|
||||
|
||||
def show_welcome_label(self):
|
||||
welcome_label = QLabel(self)
|
||||
welcome_pixmap = QPixmap(UXUI_ASSETS + "kneron_logo.png")
|
||||
welcome_label.setPixmap(welcome_pixmap)
|
||||
welcome_label.setAlignment(Qt.AlignCenter)
|
||||
self.layout.addWidget(welcome_label)
|
||||
|
||||
|
||||
def close_connection_page(self):
|
||||
print("closing device connection page")
|
||||
device_descriptors = kp.core.scan_devices()
|
||||
if device_descriptors.device_descriptor_number > 0:
|
||||
for device in device_descriptors.device_descriptor_list:
|
||||
self.parse_and_store_devices(device_descriptors.device_descriptor_list)
|
||||
kp.core.connect_devices(usb_port_ids=[device.usb_port_id])
|
||||
self.load_firmware()
|
||||
self.popup_window.close()
|
||||
|
||||
|
||||
def load_firmware(self):
|
||||
print("loading firmware")
|
||||
for device in self.connected_devices:
|
||||
device_group = kp.core.connect_devices(usb_port_ids=[device.get["usb_port_id"]])
|
||||
kp.core.set_timeout(device_group=device_group, milliseconds=5000)
|
||||
SCPU_FW_PATH = f'../../external/res/firmware/{device.get["product_id"]}/fw_scpu.bin'
|
||||
NCPU_FW_PATH = f'../../external/res/firmware/{device.get["product_id"]}/fw_ncpu.bin'
|
||||
kp.core.load_firmware_from_file(device_group=device_group,
|
||||
scpu_fw_path=SCPU_FW_PATH,
|
||||
ncpu_fw_path=NCPU_FW_PATH)
|
||||
|
||||
|
||||
def show_error_popup(self, message):
|
||||
error_dialog = QMessageBox.critical(self, "Error", message)
|
||||
|
||||
|
||||
def parse_and_store_devices(self, devices):
|
||||
for device in devices:
|
||||
new_device = {
|
||||
'usb_port_id': device.usb_port_id,
|
||||
'product_id': device.product_id,
|
||||
'kn_number': device.kn_number
|
||||
}
|
||||
print(device)
|
||||
existing_device_index = next((index for (index, d) in enumerate(self.connected_devices)
|
||||
if d['usb_port_id'] == new_device['usb_port_id']), None)
|
||||
|
||||
if existing_device_index is not None:
|
||||
self.connected_devices[existing_device_index] = new_device
|
||||
else:
|
||||
self.connected_devices.append(new_device)
|
||||
|
||||
|
||||
def check_available_device(self):
|
||||
print("checking available devices")
|
||||
device_descriptors = kp.core.scan_devices()
|
||||
self.clear_device_layout(self.device_layout)
|
||||
|
||||
if device_descriptors.device_descriptor_number > 0:
|
||||
if device_descriptors.device_descriptor_number > 0:
|
||||
self.parse_and_store_devices(device_descriptors.device_descriptor_list)
|
||||
self.display_devices(device_descriptors.device_descriptor_list)
|
||||
else:
|
||||
self.show_no_device_gif()
|
||||
|
||||
|
||||
def get_dongle_type(self, product_id):
|
||||
for dongle_type in self.K_:
|
||||
if dongle_type.value == product_id:
|
||||
return dongle_type
|
||||
return None
|
||||
|
||||
|
||||
def display_devices(self, device_descriptor_list):
|
||||
hbox_layout = QHBoxLayout()
|
||||
hbox_layout.setAlignment(Qt.AlignCenter)
|
||||
|
||||
for device in device_descriptor_list:
|
||||
device_layout = QVBoxLayout()
|
||||
box_layout = QVBoxLayout()
|
||||
|
||||
icon = QLabel()
|
||||
pixmap = QPixmap(UXUI_ASSETS + "kneron_logo.png")
|
||||
icon.setPixmap(pixmap.scaled(50, 50, Qt.KeepAspectRatio, Qt.SmoothTransformation))
|
||||
print(device.product_id)
|
||||
usb_type_label = QLabel(f"Device: {self.get_dongle_type(device.product_id)}")
|
||||
usb_type_label.setAlignment(Qt.AlignCenter)
|
||||
usb_type_label.setStyleSheet("color: white")
|
||||
|
||||
box_layout.addWidget(icon, alignment=Qt.AlignCenter)
|
||||
box_layout.addWidget(usb_type_label)
|
||||
|
||||
box_widget = QWidget()
|
||||
box_widget.setLayout(box_layout)
|
||||
|
||||
box_size = 200
|
||||
box_widget.setFixedSize(box_size, box_size)
|
||||
box_widget.setStyleSheet(DEVICE_BOX_STYLE)
|
||||
|
||||
usb_port_label = QLabel(f"KN number:\n{device.kn_number}")
|
||||
usb_port_label.setAlignment(Qt.AlignLeft)
|
||||
usb_port_label.setStyleSheet("color: white;")
|
||||
|
||||
label_icon_layout = QHBoxLayout()
|
||||
|
||||
small_icon = QSvgWidget(UXUI_ASSETS + "./Assets_svg/btn_dialog_device_disconnect_normal.svg")
|
||||
small_icon.setFixedSize(30, 30)
|
||||
|
||||
label_icon_layout.addWidget(usb_port_label)
|
||||
label_icon_layout.addWidget(small_icon, alignment=Qt.AlignRight)
|
||||
|
||||
device_layout.addWidget(box_widget)
|
||||
device_layout.addLayout(label_icon_layout)
|
||||
|
||||
device_widget = QWidget()
|
||||
device_widget.setLayout(device_layout)
|
||||
|
||||
hbox_layout.addWidget(device_widget)
|
||||
|
||||
self.device_layout.addLayout(hbox_layout)
|
||||
|
||||
|
||||
|
||||
def show_no_device_gif(self):
|
||||
no_device_label = QLabel(self)
|
||||
no_device_movie = QMovie(NO_DEVICE_GIF)
|
||||
no_device_label.setMovie(no_device_movie)
|
||||
no_device_movie.start()
|
||||
no_device_label.setAlignment(Qt.AlignCenter)
|
||||
self.device_layout.addWidget(no_device_label)
|
||||
|
||||
|
||||
def show_device_connection_popup(self):
|
||||
self.popup_window = QDialog(self)
|
||||
self.popup_window.setWindowTitle("Device Connection")
|
||||
self.popup_window.setFocusPolicy(Qt.StrongFocus)
|
||||
|
||||
popup_width = int(self.width() * POPUP_SIZE_RATIO)
|
||||
popup_height = int(self.height() * POPUP_SIZE_RATIO)
|
||||
self.popup_window.setGeometry(100, 100, popup_width, popup_height)
|
||||
self.popup_window.setStyleSheet(f"background-color: {SECONDARY_COLOR};")
|
||||
|
||||
popup_layout = QVBoxLayout()
|
||||
|
||||
self.device_layout = QVBoxLayout()
|
||||
|
||||
popup_title = QHBoxLayout()
|
||||
small_icon = QSvgWidget(UXUI_ASSETS + "./Assets_svg/ic_window_device.svg")
|
||||
small_icon.setFixedSize(30, 30)
|
||||
popup_title.addWidget(small_icon)
|
||||
device_popup_label = QLabel("Device Connection", self.popup_window)
|
||||
device_popup_label.setAlignment(Qt.AlignCenter)
|
||||
popup_title.addWidget(device_popup_label)
|
||||
popup_layout.addLayout(self.device_layout)
|
||||
|
||||
button_layout = QHBoxLayout()
|
||||
|
||||
refresh_button = QPushButton('Refresh')
|
||||
refresh_button.clicked.connect(self.check_available_device)
|
||||
refresh_button.setStyleSheet(BUTTON_STYLE)
|
||||
button_layout.addWidget(refresh_button)
|
||||
|
||||
done_button = QPushButton('Done')
|
||||
done_button.setStyleSheet(BUTTON_STYLE)
|
||||
#done_button.clicked.connect(self.close_connection_page)
|
||||
done_button.clicked.connect(lambda: self.close_connection_page())
|
||||
|
||||
button_layout.addWidget(done_button)
|
||||
|
||||
popup_layout.addLayout(button_layout)
|
||||
self.popup_window.setLayout(popup_layout)
|
||||
|
||||
self.popup_window.setModal(True)
|
||||
self.setEnabled(False)
|
||||
self.popup_window.finished.connect(lambda: self.setEnabled(True))
|
||||
|
||||
self.popup_window.show()
|
||||
|
||||
self.check_available_device()
|
||||
|
||||
|
||||
def show_device_popup_and_main_page(self):
|
||||
self.show_device_connection_popup()
|
||||
self.popup_window.finished.connect(self.main_page)
|
||||
|
||||
|
||||
|
||||
def clear_device_layout(self, layout):
|
||||
for i in reversed(range(layout.count())):
|
||||
layout.itemAt(i).widget().deleteLater()
|
||||
|
||||
|
||||
def clear_layout(self):
|
||||
for i in reversed(range(self.device_layout.count())):
|
||||
self.device_layout.itemAt(i).widget().deleteLater()
|
||||
|
||||
|
||||
def create_frame(self, title, icon_path):
|
||||
frame = QFrame(self)
|
||||
frame.setStyleSheet(f"border: none; background: {SECONDARY_COLOR}; border-radius: 20px;")
|
||||
layout = QVBoxLayout(frame)
|
||||
|
||||
title_layout = QHBoxLayout()
|
||||
title_icon = QSvgWidget(icon_path)
|
||||
title_icon.setFixedSize(40, 40)
|
||||
title_layout.addWidget(title_icon)
|
||||
title_label = QLabel(title)
|
||||
title_label.setStyleSheet("color: white;")
|
||||
title_layout.addWidget(title_label)
|
||||
|
||||
layout.addLayout(title_layout)
|
||||
return frame
|
||||
|
||||
|
||||
def add_model_buttons(self, layout):
|
||||
for model_name, run_function in self.model_buttons:
|
||||
button = QPushButton(model_name)
|
||||
button.clicked.connect(run_function)
|
||||
|
||||
button.setStyleSheet("""
|
||||
QPushButton {
|
||||
color: white;
|
||||
border: 2px solid white;
|
||||
border-radius: 10px;
|
||||
padding: 10px;
|
||||
background-color: transparent;
|
||||
}
|
||||
QPushButton:hover {
|
||||
background-color: rgba(255, 255, 255, 50);
|
||||
}
|
||||
QPushButton:pressed {
|
||||
background-color: rgba(255, 255, 255, 100);
|
||||
}
|
||||
""")
|
||||
layout.addWidget(button)
|
||||
|
||||
|
||||
def start_camera(self):
|
||||
print("opening camera")
|
||||
self.right_layout.replaceWidget(self.canvas_label, self.video_widget)
|
||||
self.canvas_label.hide()
|
||||
self.camera.start()
|
||||
|
||||
|
||||
def stop_camera(self):
|
||||
self.camera.stop()
|
||||
|
||||
self.right_layout.replaceWidget(self.video_widget, self.canvas_label)
|
||||
self.video_widget.hide()
|
||||
self.canvas_label.show()
|
||||
|
||||
|
||||
# TODO: implement these functions and add button state/style change
|
||||
def record_video(self):
|
||||
output_file = "output_video.mp4"
|
||||
self.media_recorder.setOutputLocation(QUrl.fromLocalFile(os.path.abspath(output_file)))
|
||||
self.media_recorder.record()
|
||||
|
||||
def stop_recording(self):
|
||||
self.media_recorder.stop()
|
||||
|
||||
|
||||
def record_audio(self):
|
||||
audio_output_file = "output_audio.wav"
|
||||
self.audio_recorder.setOutputLocation(QUrl.fromLocalFile(os.path.abspath(audio_output_file)))
|
||||
self.audio_recorder.record()
|
||||
|
||||
|
||||
def stop_audio(self):
|
||||
self.audio_recorder.stop()
|
||||
|
||||
|
||||
def take_screenshot(self):
|
||||
self.image_capture.capture()
|
||||
self.image_capture.imageCaptured.connect(self.process_capture)
|
||||
|
||||
|
||||
def process_capture(self, requestId, image):
|
||||
file_name = f"screenshot_{requestId}.png"
|
||||
image.save(file_name)
|
||||
print(f"Screenshot saved as {file_name}")
|
||||
|
||||
|
||||
def run_face_detection(self):
|
||||
self.start_camera()
|
||||
print("Running Face Detection")
|
||||
|
||||
|
||||
def run_gender_age_detection(self):
|
||||
self.start_camera()
|
||||
print("Running Gender/Age Detection")
|
||||
|
||||
|
||||
def run_object_detection(self):
|
||||
self.start_camera()
|
||||
print("Running Object Detection")
|
||||
|
||||
|
||||
def run_mask_detection(self):
|
||||
self.start_camera()
|
||||
print("Running Mask Detection")
|
||||
|
||||
|
||||
def choose_folder(self):
|
||||
self.input_directory = QFileDialog.getExistingDirectory(self, "Select Input Directory")
|
||||
self.to_keep_directory = QFileDialog.getExistingDirectory(self, "Select 'To Keep' Directory")
|
||||
self.to_delete_directory = QFileDialog.getExistingDirectory(self, "Select 'To Delete' Directory")
|
||||
|
||||
if self.input_directory and self.to_keep_directory and self.to_delete_directory:
|
||||
print(f"Selected directories:\nInput: {self.input_directory}\nTo Keep: {self.to_keep_directory}\nTo Delete: {self.to_delete_directory}")
|
||||
|
||||
|
||||
def create_folder_button(self):
|
||||
folder_button_widget = QWidget()
|
||||
folder_button_layout = QVBoxLayout()
|
||||
|
||||
text_label = QLabel("Image")
|
||||
text_label.setAlignment(Qt.AlignCenter)
|
||||
text_label.setStyleSheet("color: white;")
|
||||
folder_button_layout.addWidget(text_label)
|
||||
|
||||
folder_button_widget.setLayout(folder_button_layout)
|
||||
folder_button_widget.setStyleSheet(f"""
|
||||
QWidget {{
|
||||
background-color: {SECONDARY_COLOR};
|
||||
border: 2px solid white;
|
||||
border-radius: 10px;
|
||||
padding: 10px;
|
||||
min-width: 100px;
|
||||
min-height: 100px;
|
||||
}}
|
||||
""")
|
||||
|
||||
return folder_button_widget
|
||||
|
||||
|
||||
def process_image_project(self):
|
||||
print("processing_image_project")
|
||||
|
||||
|
||||
def start_image_project(self):
|
||||
print("running image project")
|
||||
|
||||
self.popup_window = QDialog(self)
|
||||
self.popup_window.setWindowTitle("Choose Folder")
|
||||
|
||||
popup_width = int(self.width() * POPUP_SIZE_RATIO)
|
||||
popup_height = int(self.height() * POPUP_SIZE_RATIO)
|
||||
self.popup_window.setGeometry(100, 100, popup_width, popup_height)
|
||||
self.popup_window.setStyleSheet(f"background-color: {SECONDARY_COLOR};")
|
||||
|
||||
popup_layout = QVBoxLayout()
|
||||
|
||||
self.device_layout = QVBoxLayout()
|
||||
cust_label = QLabel("Customization", self.popup_window)
|
||||
cust_label.setAlignment(Qt.AlignCenter)
|
||||
cust_label.setStyleSheet("color: white")
|
||||
popup_layout.addWidget(cust_label)
|
||||
popup_layout.addLayout(self.device_layout)
|
||||
|
||||
folder_icon = QSvgWidget(UXUI_ASSETS + "./Assets_svg/ic_customization_upload_folder.svg")
|
||||
folder_icon.setFixedSize(100, 100)
|
||||
|
||||
upload_icon = QSvgWidget(UXUI_ASSETS + "./Assets_svg/bt_function_upload_normal.svg")
|
||||
upload_icon.setFixedSize(40, 40)
|
||||
|
||||
folder_button_widget = QWidget()
|
||||
folder_button_layout = QVBoxLayout()
|
||||
|
||||
text_label = QLabel("Image")
|
||||
text_label.setAlignment(Qt.AlignCenter)
|
||||
text_label.setStyleSheet("color: white; border: none")
|
||||
|
||||
folder_button_layout.addWidget(text_label)
|
||||
folder_button_layout.addWidget(folder_icon)
|
||||
|
||||
description_label = QLabel("Upload or drag files")
|
||||
description_label.setAlignment(Qt.AlignCenter)
|
||||
description_label.setStyleSheet("color: white; border: none")
|
||||
folder_button_layout.addWidget(description_label)
|
||||
folder_button_layout.addWidget(upload_icon)
|
||||
folder_button_layout.setAlignment(Qt.AlignCenter)
|
||||
|
||||
folder_button_widget.setLayout(folder_button_layout)
|
||||
|
||||
folder_frame = QFrame()
|
||||
folder_frame.setStyleSheet(f"""
|
||||
QFrame {{
|
||||
border: 2px solid white;
|
||||
border-radius: 10px;
|
||||
padding: 10px;
|
||||
background-color: {SECONDARY_COLOR};
|
||||
}}
|
||||
""")
|
||||
folder_frame.setLayout(QVBoxLayout())
|
||||
folder_frame.layout().addWidget(folder_button_widget)
|
||||
|
||||
folder_icon2 = QSvgWidget(UXUI_ASSETS + "./Assets_svg/ic_customization_upload_folder.svg")
|
||||
folder_icon2.setFixedSize(100, 100)
|
||||
upload_icon2 = QSvgWidget(UXUI_ASSETS + "./Assets_svg/bt_function_upload_normal.svg")
|
||||
upload_icon2.setFixedSize(40, 40)
|
||||
folder_button_widget2 = QWidget()
|
||||
folder_button_layout2 = QVBoxLayout()
|
||||
|
||||
text_label2 = QLabel("Label")
|
||||
text_label2.setAlignment(Qt.AlignCenter)
|
||||
text_label2.setStyleSheet("color: white; border: none")
|
||||
|
||||
folder_button_layout2.addWidget(text_label2)
|
||||
folder_button_layout2.addWidget(folder_icon2)
|
||||
folder_button_layout2.setAlignment(Qt.AlignCenter)
|
||||
|
||||
description_label2 = QLabel("Upload or drag files")
|
||||
description_label2.setAlignment(Qt.AlignCenter)
|
||||
description_label2.setStyleSheet("color: white; border: none")
|
||||
folder_button_layout2.addWidget(description_label2)
|
||||
folder_button_layout2.addWidget(upload_icon2)
|
||||
|
||||
folder_button_widget2.setLayout(folder_button_layout2)
|
||||
|
||||
folder_frame2 = QFrame()
|
||||
folder_frame2.setStyleSheet(f"""
|
||||
QFrame {{
|
||||
border: 2px solid white;
|
||||
border-radius: 10px;
|
||||
padding: 10px;
|
||||
background-color: {SECONDARY_COLOR};
|
||||
}}
|
||||
""")
|
||||
folder_frame2.setLayout(QVBoxLayout())
|
||||
folder_frame2.layout().addWidget(folder_button_widget2)
|
||||
|
||||
folder_buttons_layout = QHBoxLayout()
|
||||
folder_buttons_layout.addWidget(folder_frame)
|
||||
folder_buttons_layout.addWidget(folder_frame2)
|
||||
|
||||
popup_layout.addLayout(folder_buttons_layout)
|
||||
|
||||
button_layout = QHBoxLayout()
|
||||
self.cancel_button = QPushButton('Cancel', self.popup_window)
|
||||
self.cancel_button.clicked.connect(self.popup_window.close)
|
||||
self.cancel_button.setStyleSheet(BUTTON_STYLE)
|
||||
button_layout.addWidget(self.cancel_button)
|
||||
|
||||
self.done_button = QPushButton('Done', self.popup_window)
|
||||
self.done_button.setStyleSheet(BUTTON_STYLE)
|
||||
self.done_button.clicked.connect(self.process_image_project)
|
||||
button_layout.addWidget(self.done_button)
|
||||
|
||||
popup_layout.addLayout(button_layout)
|
||||
|
||||
self.popup_window.setLayout(popup_layout)
|
||||
|
||||
self.popup_window.setModal(True)
|
||||
self.setEnabled(False)
|
||||
self.popup_window.finished.connect(lambda: self.setEnabled(True))
|
||||
|
||||
self.popup_window.show()
|
||||
|
||||
|
||||
def upload_model(self):
|
||||
print("Uploading Model")
|
||||
|
||||
|
||||
def main_page(self):
|
||||
self.clear_device_layout(self.layout)
|
||||
self.setWindowTitle('Innovedus AI Playground')
|
||||
self.setGeometry(100, 100, *WINDOW_SIZE)
|
||||
|
||||
main_layout = QHBoxLayout()
|
||||
top_nav = QHBoxLayout()
|
||||
|
||||
welcome_label = QLabel(self)
|
||||
welcome_pixmap = QPixmap(UXUI_ASSETS + "kneron_logo.png").scaled(150, 150, Qt.KeepAspectRatio)
|
||||
welcome_label.setPixmap(welcome_pixmap)
|
||||
top_nav.addWidget(welcome_label, alignment=Qt.AlignLeft)
|
||||
top_nav.addStretch()
|
||||
|
||||
settings_button = QPushButton("Settings", self)
|
||||
settings_button.setStyleSheet(BUTTON_STYLE)
|
||||
top_nav.addWidget(settings_button, alignment=Qt.AlignRight)
|
||||
self.layout.addLayout(top_nav)
|
||||
|
||||
|
||||
left_widget = QWidget()
|
||||
left_widget.setLayout(self.left_layout)
|
||||
left_widget.setFixedWidth(self.geometry().width() // 3)
|
||||
|
||||
right_widget = QWidget()
|
||||
right_widget.setLayout(self.right_layout)
|
||||
right_widget.setFixedWidth(self.geometry().width() * 2 // 3)
|
||||
|
||||
main_layout.addWidget(left_widget)
|
||||
main_layout.addWidget(right_widget)
|
||||
self.layout.addLayout(main_layout)
|
||||
self.setLayout(self.layout)
|
||||
|
||||
self.create_device_layout()
|
||||
self.create_right_layout()
|
||||
|
||||
|
||||
def show_device_details(self):
|
||||
print("show_device_details")
|
||||
|
||||
|
||||
def create_device_layout(self):
|
||||
devices_frame = self.create_frame("Device", UXUI_ASSETS + "./Assets_svg/ic_window_device.svg")
|
||||
devices_frame_layout = QVBoxLayout()
|
||||
self.device_list = QListWidget(self)
|
||||
|
||||
print(self.connected_devices)
|
||||
|
||||
for device in self.connected_devices:
|
||||
usb_port_id = device.get("usb_port_id")
|
||||
product_id = device.get("product_id")
|
||||
kn_number = device.get("kn_number")
|
||||
|
||||
h_layout = QHBoxLayout()
|
||||
icon = QSvgWidget(UXUI_ASSETS + "./Assets_svg/ic_window_device.svg")
|
||||
icon.setFixedSize(40, 40)
|
||||
h_layout.addWidget(icon)
|
||||
|
||||
text_layout = QVBoxLayout()
|
||||
line1_label = QLabel(f"Dongle: {product_id}")
|
||||
line1_label.setStyleSheet("font-weight: bold; color: white;")
|
||||
text_layout.addWidget(line1_label)
|
||||
|
||||
line2_label = QLabel(f"KN number: {kn_number}")
|
||||
line2_label.setStyleSheet("color: white;")
|
||||
text_layout.addWidget(line2_label)
|
||||
|
||||
h_layout.addLayout(text_layout)
|
||||
|
||||
item_widget = QWidget()
|
||||
item_widget.setLayout(h_layout)
|
||||
list_item = QListWidgetItem()
|
||||
list_item.setSizeHint(item_widget.sizeHint())
|
||||
self.device_list.addItem(list_item)
|
||||
self.device_list.setItemWidget(list_item, item_widget)
|
||||
|
||||
devices_frame_layout.addWidget(self.device_list)
|
||||
|
||||
detail_button = QPushButton("Details", self)
|
||||
detail_button.clicked.connect(self.show_device_details)
|
||||
devices_frame_layout.addWidget(detail_button)
|
||||
|
||||
devices_frame.setLayout(devices_frame_layout)
|
||||
self.left_layout.addWidget(devices_frame)
|
||||
|
||||
self.models_frame = self.create_frame("AI Toolbox", UXUI_ASSETS + "./Assets_svg/ic_window_toolbox.svg")
|
||||
models_layout = QVBoxLayout(self.models_frame)
|
||||
self.models_frame.setLayout(models_layout)
|
||||
|
||||
self.add_model_buttons(self.models_frame.layout())
|
||||
self.left_layout.addWidget(self.models_frame)
|
||||
|
||||
|
||||
def create_right_layout(self):
|
||||
self.canvas_label = QLabel("Canvas Area (Camera Screen)", self)
|
||||
self.canvas_label.setAlignment(Qt.AlignCenter)
|
||||
self.canvas_label.setStyleSheet("border: 1px transparent; background: gray; border-radius: 20px; ")
|
||||
self.right_layout.addWidget(self.canvas_label)
|
||||
|
||||
button_overlay_layout = QVBoxLayout()
|
||||
button_overlay_layout.setContentsMargins(0, 0, 0, 0)
|
||||
|
||||
self.create_square_buttons(button_overlay_layout)
|
||||
|
||||
button_overlay_widget = QWidget(self)
|
||||
button_overlay_widget.setLayout(button_overlay_layout)
|
||||
button_overlay_widget.setStyleSheet(f"background: {SECONDARY_COLOR}; border-radius: 20px; padding: 10px;")
|
||||
|
||||
button_overlay_widget.setFixedHeight(150)
|
||||
self.right_layout.addWidget(button_overlay_widget, alignment=Qt.AlignBottom | Qt.AlignRight)
|
||||
|
||||
|
||||
def create_square_buttons(self, layout):
|
||||
square_buttons_info = [
|
||||
('video', UXUI_ASSETS + "./Assets_svg/ic_recording_camera.svg"),
|
||||
('voice', UXUI_ASSETS + "./Assets_svg/ic_recording_voice.svg"),
|
||||
('screenshot', UXUI_ASSETS + "./Assets_svg/bt_function_screencapture_normal.svg"),
|
||||
]
|
||||
|
||||
for button_name, icon_path in square_buttons_info:
|
||||
button = QPushButton(self)
|
||||
button.setFixedSize(50, 50)
|
||||
button.setStyleSheet(SQUARE_BUTTON_STYLE)
|
||||
button_layout = QHBoxLayout(button)
|
||||
button_layout.setContentsMargins(0, 0, 0, 0)
|
||||
icon = QSvgWidget(icon_path)
|
||||
icon.setFixedSize(40, 40)
|
||||
button_layout.addWidget(icon)
|
||||
|
||||
layout.addWidget(button)
|
||||
|
||||
|
||||
def upload_model(self):
|
||||
model_file, _ = QFileDialog.getOpenFileName(self, "Upload Model", "", "NEF Files (*.nef)")
|
||||
if model_file:
|
||||
if model_file.endswith('.nef'):
|
||||
model_name = os.path.basename(model_file)
|
||||
self.model_buttons.insert(-1, (model_name, self.run_uploaded_model))
|
||||
print(f"Model uploaded: {model_name}")
|
||||
self.refresh_model_buttons()
|
||||
else:
|
||||
self.show_error_popup("Invalid file format. Please upload a .nef file.")
|
||||
|
||||
|
||||
def refresh_model_buttons(self):
|
||||
layout = self.models_frame.layout()
|
||||
|
||||
for i in reversed(range(layout.count())):
|
||||
widget_to_remove = layout.itemAt(i).widget()
|
||||
if widget_to_remove is not None:
|
||||
widget_to_remove.deleteLater()
|
||||
|
||||
self.add_model_buttons(layout)
|
||||
|
||||
|
||||
def run_uploaded_model(self):
|
||||
print("Running uploaded model")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
app = QApplication(sys.argv)
|
||||
window = MainWindow()
|
||||
window.show()
|
||||
sys.exit(app.exec_())
|
||||
160
demogui/utils.py
Normal file
160
demogui/utils.py
Normal file
@ -0,0 +1,160 @@
|
||||
import os
|
||||
import cv2
|
||||
import kp
|
||||
import numpy as np
|
||||
import numpy as np
|
||||
from sklearn.cluster import DBSCAN
|
||||
|
||||
|
||||
# -------------------- General Dongle Connection -------------------------------#
|
||||
def connect_and_load_firmware(device_descriptors):
|
||||
# device_descriptors = kp.core.scan_devices()
|
||||
if 0 < device_descriptors.device_descriptor_number:
|
||||
for device in device_descriptors.device_descriptor_list:
|
||||
usb_port_id = device.usb_port_id
|
||||
device_group = kp.core.connect_devices(usb_port_ids=[22])
|
||||
kp.core.set_timeout(device_group=device_group,
|
||||
milliseconds=5000)
|
||||
SCPU_FW_PATH = '../../res/firmware/KL520/fw_scpu.bin'
|
||||
NCPU_FW_PATH = '../../res/firmware/KL520/fw_ncpu.bin'
|
||||
kp.core.load_firmware_from_file(device_group=device_group,
|
||||
scpu_fw_path=SCPU_FW_PATH,
|
||||
ncpu_fw_path=NCPU_FW_PATH)
|
||||
else:
|
||||
print('Error: no Kneron device connect.')
|
||||
exit(0)
|
||||
|
||||
def load_firmware():
|
||||
print("loading firmware")
|
||||
|
||||
def list_image_files(directory):
|
||||
"""List all image files in a given directory."""
|
||||
valid_extensions = ('.jpg', '.jpeg', '.png', '.bmp', '.gif')
|
||||
return [os.path.join(directory, f) for f in os.listdir(directory) if f.lower().endswith(valid_extensions)]
|
||||
|
||||
|
||||
# -------------------- Decluttering & Photo Quality Model -------------------------------#
|
||||
|
||||
def preprocess_image(image_file_path):
|
||||
maxbytes = 500000
|
||||
file_size = os.path.getsize(image_file_path)
|
||||
img = cv2.imread(filename=image_file_path)
|
||||
|
||||
if file_size > maxbytes:
|
||||
scale_factor = (maxbytes / file_size) ** 0.5
|
||||
new_width = int(img.shape[1] * scale_factor)
|
||||
new_height = int(img.shape[0] * scale_factor)
|
||||
if new_width % 2 != 0:
|
||||
new_width += 1
|
||||
img = cv2.resize(img, (new_width, new_height), interpolation=cv2.INTER_AREA)
|
||||
else:
|
||||
if img.shape[1] % 2 != 0:
|
||||
img = cv2.resize(img, (img.shape[1] + 1, img.shape[0]), interpolation=cv2.INTER_AREA)
|
||||
|
||||
img_bgr565 = cv2.cvtColor(src=img, code=cv2.COLOR_BGR2BGR565)
|
||||
return img_bgr565
|
||||
|
||||
|
||||
def perform_inference(device_group, model_nef_descriptor, img_bgr565):
|
||||
generic_inference_input_descriptor = kp.GenericImageInferenceDescriptor(
|
||||
model_id=model_nef_descriptor.models[0].id,
|
||||
inference_number=0,
|
||||
input_node_image_list=[
|
||||
kp.GenericInputNodeImage(
|
||||
image=img_bgr565,
|
||||
image_format=kp.ImageFormat.KP_IMAGE_FORMAT_RGB565,
|
||||
resize_mode=kp.ResizeMode.KP_RESIZE_ENABLE,
|
||||
padding_mode=kp.PaddingMode.KP_PADDING_CORNER,
|
||||
normalize_mode=kp.NormalizeMode.KP_NORMALIZE_KNERON
|
||||
)
|
||||
]
|
||||
)
|
||||
|
||||
kp.inference.generic_image_inference_send(device_group=device_group,
|
||||
generic_inference_input_descriptor=generic_inference_input_descriptor)
|
||||
generic_raw_result = kp.inference.generic_image_inference_receive(device_group=device_group)
|
||||
|
||||
inf_node_output_list = []
|
||||
|
||||
for node_idx in range(generic_raw_result.header.num_output_node):
|
||||
inference_float_node_output = kp.inference.generic_inference_retrieve_float_node(
|
||||
node_idx=node_idx,
|
||||
generic_raw_result=generic_raw_result,
|
||||
channels_ordering=kp.ChannelOrdering.KP_CHANNEL_ORDERING_CHW
|
||||
)
|
||||
inf_node_output_list.append(inference_float_node_output)
|
||||
|
||||
return inf_node_output_list
|
||||
|
||||
|
||||
def post_process_inference(inf_node_output_list):
|
||||
"""Processes the inference output and returns a mean score."""
|
||||
data = inf_node_output_list[0]
|
||||
raw_ndarray = data.ndarray
|
||||
|
||||
if isinstance(raw_ndarray, np.ndarray):
|
||||
ndarray_np = raw_ndarray
|
||||
else:
|
||||
ndarray_np = np.array(raw_ndarray)
|
||||
|
||||
ndarray_np = ndarray_np.flatten()
|
||||
ndarray_np = ndarray_np.reshape((data.channel, data.height, data.width))
|
||||
|
||||
ndarray_np = ndarray_np.flatten()
|
||||
result = np.mean(ndarray_np) # Mean score
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def process_image(device_group, model_nef_descriptor, image_file_path):
|
||||
"""Full pipeline: preprocess image, perform inference, and post-process to get a score."""
|
||||
img_bgr565 = preprocess_image(image_file_path)
|
||||
inf_node_output_list = perform_inference(device_group, model_nef_descriptor, img_bgr565)
|
||||
nd_array = inf_node_output_list[0].ndarray
|
||||
number = float(nd_array.flatten()[0])
|
||||
return number
|
||||
|
||||
|
||||
def cosine_similarity(tensor1, tensor2):
|
||||
"""Compute the cosine similarity between two tensors."""
|
||||
dot_product = np.dot(tensor1, tensor2)
|
||||
norm1 = np.linalg.norm(tensor1)
|
||||
norm2 = np.linalg.norm(tensor2)
|
||||
return dot_product / (norm1 * norm2)
|
||||
|
||||
|
||||
def compare_images_cosine_similarity(image_paths, device_group, model_nef_descriptor):
|
||||
"""Compare the cosine similarity between feature tensors of photos in the given image file paths."""
|
||||
num_images = len(image_paths)
|
||||
features = []
|
||||
for image_path in image_paths:
|
||||
feature = process_image(device_group, model_nef_descriptor, image_path)
|
||||
features.append(feature)
|
||||
|
||||
similarity_matrix = np.zeros((num_images, num_images))
|
||||
for i in range(num_images):
|
||||
for j in range(num_images):
|
||||
if i != j:
|
||||
similarity_matrix[i, j] = cosine_similarity(features[i], features[j])
|
||||
else:
|
||||
similarity_matrix[i, j] = 1.0
|
||||
return similarity_matrix
|
||||
|
||||
|
||||
def cluster_images_with_dbscan(image_paths, feature_extractor, model_nef_descriptor, similarity_threshold=0.8, min_samples=2):
|
||||
"""Cluster images based on cosine similarity using DBSCAN and return clusters as arrays of file paths."""
|
||||
similarity_matrix = compare_images_cosine_similarity(image_paths, feature_extractor, model_nef_descriptor)
|
||||
distance_matrix = 1 - similarity_matrix
|
||||
dbscan = DBSCAN(eps=1-similarity_threshold, min_samples=min_samples, metric='precomputed')
|
||||
labels = dbscan.fit_predict(distance_matrix)
|
||||
|
||||
clusters = []
|
||||
unique_labels = set(labels)
|
||||
for label in unique_labels:
|
||||
if label != -1:
|
||||
cluster = [image_paths[i] for i in range(len(labels)) if labels[i] == label]
|
||||
clusters.append(cluster)
|
||||
return clusters
|
||||
|
||||
|
||||
|
||||
BIN
dist/Output/mysetup.exe
vendored
Normal file
BIN
dist/Output/mysetup.exe
vendored
Normal file
Binary file not shown.
BIN
dist/main.exe
vendored
Normal file
BIN
dist/main.exe
vendored
Normal file
Binary file not shown.
64
dist/test.iss
vendored
Normal file
64
dist/test.iss
vendored
Normal file
@ -0,0 +1,64 @@
|
||||
; Script generated by the Inno Setup Script Wizard.
|
||||
; SEE THE DOCUMENTATION FOR DETAILS ON CREATING INNO SETUP SCRIPT FILES!
|
||||
|
||||
#define MyAppName "Kneron Academy"
|
||||
#define MyAppVersion "2.0"
|
||||
#define MyAppPublisher "Innovedus Inc."
|
||||
#define MyAppURL "https://www.example.com/"
|
||||
#define MyAppExeName "main.exe"
|
||||
|
||||
[Setup]
|
||||
; 唯一的 AppId，請勿在其他應用程式中重複使用
|
||||
AppId={{0894596D-D78B-4D8C-97CC-D90FE98E26E0}}
|
||||
AppName={#MyAppName}
|
||||
AppVersion={#MyAppVersion}
|
||||
;AppVerName={#MyAppName} {#MyAppVersion}
|
||||
AppPublisher={#MyAppPublisher}
|
||||
AppPublisherURL={#MyAppURL}
|
||||
AppSupportURL={#MyAppURL}
|
||||
AppUpdatesURL={#MyAppURL}
|
||||
DefaultDirName={autopf}\{#MyAppName}
|
||||
UninstallDisplayIcon={app}\{#MyAppExeName}
|
||||
; 僅允許在 x64 或 Windows 11 on Arm 上安裝
|
||||
ArchitecturesAllowed=x64compatible
|
||||
ArchitecturesInstallIn64BitMode=x64compatible
|
||||
DisableProgramGroupPage=yes
|
||||
; 若移除此行則為系統管理員模式安裝 (安裝給所有使用者)
|
||||
PrivilegesRequired=lowest
|
||||
OutputBaseFilename=mysetup
|
||||
SolidCompression=yes
|
||||
WizardStyle=modern
|
||||
|
||||
[Languages]
|
||||
Name: "english"; MessagesFile: "compiler:Default.isl"
|
||||
|
||||
[Tasks]
|
||||
Name: "desktopicon"; Description: "{cm:CreateDesktopIcon}"; GroupDescription: "{cm:AdditionalIcons}"; Flags: unchecked
|
||||
|
||||
; 定義配對元件，讓使用者選擇是否安裝預設的 Script 與 Model
|
||||
[Components]
|
||||
Name: "pair1"; Description: "Fire Detection";
|
||||
Name: "pair2"; Description: "Photo_quality";
|
||||
|
||||
[Files]
|
||||
; 安裝主要執行檔到 {app} 目錄
|
||||
Source: "C:\Users\mason\Code\demo_gui\dist\{#MyAppExeName}"; DestDir: "{app}"; Flags: ignoreversion
|
||||
|
||||
; --- 配對1 ---
|
||||
; pair 1
|
||||
Source: "C:\Users\mason\Downloads\Kneron_Academy\utils\models\fire_detection_520.nef"; DestDir: "{localappdata}\Kneron_Academy\utils\models\fire_detection_520.nef"; Components: pair1; Flags: ignoreversion recursesubdirs
|
||||
Source: "C:\Users\mason\Downloads\Kneron_Academy\utils\scripts\fire_detection_520.py"; DestDir: "{localappdata}\Kneron_Academy\utils\scripts\fire_detection_520.py"; Components: pair1; Flags: ignoreversion recursesubdirs
|
||||
; pair 2
|
||||
Source: "C:\Users\mason\Downloads\Kneron_Academy\utils\models\photo_scorer_520.nef"; DestDir: "{localappdata}\Kneron_Academy\utils\models\photo_scorer_520.nef"; Components: pair2; Flags: ignoreversion recursesubdirs
|
||||
Source: "C:\Users\mason\Downloads\Kneron_Academy\utils\scripts\photo_quality_520.py"; DestDir: "{localappdata}\Kneron_Academy\utils\scripts\photo_quality_520.py"; Components: pair2; Flags: ignoreversion recursesubdirs
|
||||
|
||||
[Dirs]
|
||||
; 如有需要隱藏這些資料夾，設定隱藏屬性
|
||||
Name: "{localappdata}\Kneron_Academy\utils\scripts"; Attribs: hidden
|
||||
Name: "{localappdata}\Kneron_Academy\utils\models"; Attribs: hidden
|
||||
[Icons]
|
||||
Name: "{autoprograms}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"
|
||||
Name: "{autodesktop}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"; Tasks: desktopicon
|
||||
|
||||
[Run]
|
||||
Filename: "{app}\{#MyAppExeName}"; Description: "{cm:LaunchProgram,{#StringChange(MyAppName, '&', '&&')}}"; Flags: nowait postinstall skipifsilent
|
||||
4
hook-kp.py
Normal file
4
hook-kp.py
Normal file
@ -0,0 +1,4 @@
|
||||
from PyInstaller.utils.hooks import collect_data_files
|
||||
|
||||
# 收集 kp package 內所有資料檔（如非 .py 檔案）
|
||||
datas = collect_data_files('kp')
|
||||
13
main.py
Normal file
13
main.py
Normal file
@ -0,0 +1,13 @@
|
||||
import sys
|
||||
from PyQt5.QtWidgets import QApplication
|
||||
from src.views.mainWindows import MainWindow
|
||||
from src.config import APP_NAME, WINDOW_SIZE
|
||||
|
||||
def main():
|
||||
app = QApplication(sys.argv)
|
||||
window = MainWindow()
|
||||
window.show()
|
||||
sys.exit(app.exec_())
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
38
main.spec
Normal file
38
main.spec
Normal file
@ -0,0 +1,38 @@
|
||||
# -*- mode: python ; coding: utf-8 -*-
|
||||
|
||||
|
||||
a = Analysis(
|
||||
['main.py'],
|
||||
pathex=[],
|
||||
binaries=[],
|
||||
datas=[('uxui', 'uxui'), ('src', 'src'), ('C:\\Users\\mason\\miniconda3\\envs\\resnet\\Lib\\site-packages\\kp\\lib', 'kp\\lib')],
|
||||
hiddenimports=[],
|
||||
hookspath=['hooks'],
|
||||
hooksconfig={},
|
||||
runtime_hooks=[],
|
||||
excludes=[],
|
||||
noarchive=False,
|
||||
optimize=0,
|
||||
)
|
||||
pyz = PYZ(a.pure)
|
||||
|
||||
exe = EXE(
|
||||
pyz,
|
||||
a.scripts,
|
||||
a.binaries,
|
||||
a.datas,
|
||||
[],
|
||||
name='main',
|
||||
debug=False,
|
||||
bootloader_ignore_signals=False,
|
||||
strip=False,
|
||||
upx=True,
|
||||
upx_exclude=[],
|
||||
runtime_tmpdir=None,
|
||||
console=False,
|
||||
disable_windowed_traceback=False,
|
||||
argv_emulation=False,
|
||||
target_arch=None,
|
||||
codesign_identity=None,
|
||||
entitlements_file=None,
|
||||
)
|
||||
BIN
src/.DS_Store
vendored
Normal file
BIN
src/.DS_Store
vendored
Normal file
Binary file not shown.
BIN
src/__pycache__/config.cpython-311.pyc
Normal file
BIN
src/__pycache__/config.cpython-311.pyc
Normal file
Binary file not shown.
BIN
src/__pycache__/config.cpython-312.pyc
Normal file
BIN
src/__pycache__/config.cpython-312.pyc
Normal file
Binary file not shown.
BIN
src/__pycache__/utils.cpython-312.pyc
Normal file
BIN
src/__pycache__/utils.cpython-312.pyc
Normal file
Binary file not shown.
80
src/config.py
Normal file
80
src/config.py
Normal file
@ -0,0 +1,80 @@
|
||||
from enum import Enum
|
||||
import os
|
||||
APPDATA_PATH = os.environ.get("LOCALAPPDATA")
|
||||
# 取得專案根目錄的絕對路徑並設定 UXUI_ASSETS 為絕對路徑
|
||||
PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||||
UXUI_ASSETS = os.path.join(PROJECT_ROOT, "uxui", "")
|
||||
MODEL = os.path.join(APPDATA_PATH,"Kneron_Academy", "utils", "models", "")
|
||||
SCRIPT = os.path.join(APPDATA_PATH, "Kneron_Academy", "utils", "scripts", "")
|
||||
SCRIPT_CONFIG = os.path.join(APPDATA_PATH, "Kneron_Academy", "utils", "configs.json")
|
||||
UPLOAD_DIR = os.path.join(APPDATA_PATH, "Kneron_Academy", "uploads")
|
||||
FW_DIR = os.path.join(APPDATA_PATH, "Kneron_Academy", "utils", "firmware")
|
||||
|
||||
# Global Constants
|
||||
APP_NAME = "Innovedus AI Playground"
|
||||
WINDOW_SIZE = (1200, 900)
|
||||
BACKGROUND_COLOR = "#143058"
|
||||
SECONDARY_COLOR = "#005ED7"
|
||||
MASK_STYLE = f"background-color: rgba(0, 0, 0, 128);"
|
||||
DEVICE_BOX_STYLE = f"background-color: {BACKGROUND_COLOR}; padding: 20px; border-radius: 20px; padding: 10px 20px;"
|
||||
|
||||
BUTTON_STYLE = """
|
||||
QPushButton {
|
||||
background: transparent;
|
||||
color: white;
|
||||
border: 2px solid white;
|
||||
border-radius: 15px;
|
||||
padding: 5px 10px;
|
||||
}
|
||||
QPushButton:hover {
|
||||
background-color: rgba(255, 255, 255, 50);
|
||||
}
|
||||
QPushButton:pressed {
|
||||
background-color: rgba(255, 255, 255, 100);
|
||||
}
|
||||
"""
|
||||
|
||||
SQUARE_BUTTON_STYLE = "background: transparent; color: white; border: 1px transparent; border-radius: 10px; "
|
||||
POPUP_SIZE_RATIO = 0.67
|
||||
NO_DEVICE_GIF = UXUI_ASSETS + "no_device_temp.gif"
|
||||
|
||||
|
||||
# Firmware Path Relatives
|
||||
FIRMWARE_PATHS = {
|
||||
"scpu": "../../res/firmware/fw_scpu.bin",
|
||||
"ncpu": "../../res/firmware/fw_ncpu.bin",
|
||||
}
|
||||
|
||||
# MODEL_BUTTON = [
|
||||
# ('Face Detection', self.run_face_detection),
|
||||
# ('Gender/Age Detection', self.run_gender_age_detection),
|
||||
# ('Object Detection', self.run_object_detection),
|
||||
# ('Mask Detection', self.run_mask_detection),
|
||||
# ('Image Project', self.start_image_project),
|
||||
# ('Upload Model', self.upload_model)
|
||||
# ]
|
||||
|
||||
# Model Inference Parameter
|
||||
MODEL_TIMEOUT = 5000
|
||||
|
||||
# TODO: Mapping of the values
|
||||
class DeviceType(Enum):
|
||||
KL520 = 256
|
||||
# KL720 = 720
|
||||
KL720 = 1824
|
||||
KL720_L = 512
|
||||
KL530 = 530
|
||||
KL832 = 832
|
||||
KL730 = 732
|
||||
KL630 = 630
|
||||
KL540 = 540
|
||||
|
||||
DongleModelMap = {
|
||||
"0x100": "KL520", # product_id "0x100" 對應到 520 系列
|
||||
"0x720": "KL720", # product_id "0x720" 對應到 720 系列
|
||||
}
|
||||
|
||||
DongleIconMap = {
|
||||
"0x100": "ic_dongle_520.png",
|
||||
"0x720": "ic_dongle_720.png"
|
||||
}
|
||||
32
src/controllers/device_controller.py
Normal file
32
src/controllers/device_controller.py
Normal file
@ -0,0 +1,32 @@
|
||||
import kp
|
||||
from typing import List, Dict
|
||||
|
||||
class DeviceController:
|
||||
def __init__(self):
|
||||
self.connected_devices = []
|
||||
|
||||
def scan_devices(self):
|
||||
return kp.core.scan_devices()
|
||||
|
||||
def connect_device(self, usb_port_id: int):
|
||||
device_group = kp.core.connect_devices(usb_port_ids=[usb_port_id])
|
||||
kp.core.set_timeout(device_group=device_group, milliseconds=5000)
|
||||
return device_group
|
||||
|
||||
def load_firmware(self, device_group, product_id: int):
|
||||
SCPU_FW_PATH = f'../../external/res/firmware/{product_id}/fw_scpu.bin'
|
||||
NCPU_FW_PATH = f'../../external/res/firmware/{product_id}/fw_ncpu.bin'
|
||||
kp.core.load_firmware_from_file(
|
||||
device_group=device_group,
|
||||
scpu_fw_path=SCPU_FW_PATH,
|
||||
ncpu_fw_path=NCPU_FW_PATH
|
||||
)
|
||||
|
||||
def parse_device_info(self, device) -> Dict:
|
||||
return {
|
||||
'usb_port_id': device.usb_port_id,
|
||||
'product_id': device.product_id,
|
||||
'kn_number': device.kn_number
|
||||
}
|
||||
|
||||
|
||||
0
src/controllers/model_controller.py
Normal file
0
src/controllers/model_controller.py
Normal file
BIN
src/services/__pycache__/device_service.cpython-311.pyc
Normal file
BIN
src/services/__pycache__/device_service.cpython-311.pyc
Normal file
Binary file not shown.
BIN
src/services/__pycache__/device_service.cpython-312.pyc
Normal file
BIN
src/services/__pycache__/device_service.cpython-312.pyc
Normal file
Binary file not shown.
BIN
src/services/__pycache__/script_service.cpython-311.pyc
Normal file
BIN
src/services/__pycache__/script_service.cpython-311.pyc
Normal file
Binary file not shown.
BIN
src/services/__pycache__/script_service.cpython-312.pyc
Normal file
BIN
src/services/__pycache__/script_service.cpython-312.pyc
Normal file
Binary file not shown.
48
src/services/device_service.py
Normal file
48
src/services/device_service.py
Normal file
@ -0,0 +1,48 @@
|
||||
import kp
|
||||
|
||||
def check_available_device():
|
||||
try:
|
||||
print("checking available devices")
|
||||
device_descriptors = kp.core.scan_devices()
|
||||
return device_descriptors
|
||||
except Exception as e:
|
||||
print(f"Error scanning devices: {e}")
|
||||
# 返回一個空的設備描述符或模擬數據
|
||||
class EmptyDescriptor:
|
||||
def __init__(self):
|
||||
self.device_descriptor_number = 0
|
||||
self.device_descriptor_list = []
|
||||
return EmptyDescriptor()
|
||||
|
||||
# def check_available_device():
|
||||
# print("checking available devices")
|
||||
# # 模擬設備描述符
|
||||
# device_descriptors = [
|
||||
# {
|
||||
# "usb_port_id": 4,
|
||||
# "vendor_id": "0x3231",
|
||||
# "product_id": "0x720",
|
||||
# "link_speed": "UsbSpeed.KP_USB_SPEED_SUPER",
|
||||
# "kn_number": "0xB306224C",
|
||||
# "is_connectable": True,
|
||||
# "usb_port_path": "4-1",
|
||||
# "firmware": "KDP2 Comp/F"
|
||||
# },
|
||||
# {
|
||||
# "usb_port_id": 5,
|
||||
# "vendor_id": "0x3231",
|
||||
# "product_id": "0x520",
|
||||
# "link_speed": "UsbSpeed.KP_USB_SPEED_SUPER",
|
||||
# "kn_number": "0xB306224C",
|
||||
# "is_connectable": True,
|
||||
# "usb_port_path": "4-1",
|
||||
# "firmware": "KDP2 Comp/F"
|
||||
# }
|
||||
# ]
|
||||
# return device_descriptors
|
||||
|
||||
# def get_dongle_type(self, product_id):
|
||||
# for dongle_type in self.K_:
|
||||
# if dongle_type.value == product_id:
|
||||
# return dongle_type
|
||||
# return None
|
||||
14
src/services/model_service.py
Normal file
14
src/services/model_service.py
Normal file
@ -0,0 +1,14 @@
|
||||
import kp
|
||||
import cv2, os, shutil, sys
|
||||
from PyQt5.QtWidgets import (QApplication, QWidget, QVBoxLayout, QLabel, QPushButton,
|
||||
QComboBox, QFileDialog, QMessageBox, QHBoxLayout, QDialog, QListWidget,
|
||||
QScrollArea, QFrame, QListWidgetItem, QTextEdit)
|
||||
from PyQt5.QtSvg import QSvgWidget
|
||||
from PyQt5.QtMultimedia import QCamera, QCameraImageCapture, QCameraInfo, QMediaRecorder, QAudioRecorder
|
||||
from PyQt5.QtMultimediaWidgets import QVideoWidget
|
||||
from PyQt5.QtGui import QPixmap, QMovie
|
||||
from PyQt5.QtCore import Qt, QTimer, QUrl
|
||||
from ..config import UXUI_ASSETS, WINDOW_SIZE, BACKGROUND_COLOR
|
||||
|
||||
def show_error_popup(self, message):
|
||||
error_dialog = QMessageBox.critical(self, "Error", message)
|
||||
84
src/services/script_service.py
Normal file
84
src/services/script_service.py
Normal file
@ -0,0 +1,84 @@
|
||||
import os, subprocess, shlex
|
||||
from pathlib import Path
|
||||
|
||||
'''
|
||||
執行已經寫好的腳本 並提供主程式檢查目前下載的 python script
|
||||
'''
|
||||
def list_scripts(directory, extensions):
|
||||
path = Path(directory)
|
||||
if not path.exists() or not path.is_dir():
|
||||
print(f"資料夾 {directory} 不存在或不是一個資料夾。")
|
||||
return []
|
||||
return [f for f in path.iterdir() if f.is_file() and f.suffix in extensions]
|
||||
|
||||
def run_script(args, filename):
|
||||
if not os.path.exists(filename):
|
||||
print("沒有找到可執行的程式檔案。")
|
||||
return
|
||||
return execute_script(args, filename)
|
||||
|
||||
def execute_script(args, script_path):
|
||||
try:
|
||||
if Path(script_path).suffix == '.py':
|
||||
# 將 args 解析成命令列參數列表（若沒有參數則傳空列表）, 使用者如果需要傳遞包含空白的參數，可以透過引號來保護該參數 (['arg1', 'arg with spaces', 'arg3'])
|
||||
arg_list = shlex.split(args) if args else []
|
||||
# 將參數加入命令列中，目標 script 可透過 sys.argv 讀取
|
||||
process = subprocess.Popen(
|
||||
['python', str(script_path)] + arg_list,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.PIPE,
|
||||
text=True
|
||||
)
|
||||
stdout, stderr = process.communicate()
|
||||
if stderr:
|
||||
print(f"執行警告/錯誤: {stderr}")
|
||||
return stdout
|
||||
else:
|
||||
print(f"不支援的檔案類型: {script_path}")
|
||||
return None
|
||||
except subprocess.CalledProcessError as e:
|
||||
print(f"執行 {script_path} 時發生錯誤: {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
print(f"執行 {script_path} 時發生未預期的錯誤: {e}")
|
||||
return None
|
||||
|
||||
'''
|
||||
Test the script service including execute_script, run_script, and list_scripts
|
||||
|
||||
def main():
|
||||
directory = './test_script' # 修改為您的腳本目錄
|
||||
extensions = ['.py']
|
||||
|
||||
# 列出所有可執行的腳本
|
||||
scripts = list_scripts(directory, extensions)
|
||||
if not scripts:
|
||||
print("找不到可執行的腳本。")
|
||||
return
|
||||
|
||||
# 顯示可用腳本
|
||||
print("可用的腳本：")
|
||||
for i, script in enumerate(scripts, 1):
|
||||
print(f"{i}. {script.name}")
|
||||
|
||||
# 選擇腳本
|
||||
try:
|
||||
choice = int(input("請選擇要執行的腳本編號: ")) - 1
|
||||
if 0 <= choice < len(scripts):
|
||||
selected_script = scripts[choice]
|
||||
|
||||
# 取得輸入參數 (以空白分隔)
|
||||
args = input("請輸入要傳遞給腳本的參數 (以空白分隔): ")
|
||||
|
||||
# 執行腳本並獲取結果
|
||||
result = run_script(args, selected_script)
|
||||
if result:
|
||||
print(f"執行結果：\n{result}")
|
||||
else:
|
||||
print("無效的選擇。")
|
||||
except ValueError:
|
||||
print("請輸入有效的數字。")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
'''
|
||||
24
src/services/test_script/test.py
Normal file
24
src/services/test_script/test.py
Normal file
@ -0,0 +1,24 @@
|
||||
def process_input(input_str):
|
||||
# 檢查輸入是否為空
|
||||
if not input_str:
|
||||
return "錯誤：沒有輸入參數"
|
||||
|
||||
# 檢查輸入是否為數字
|
||||
try:
|
||||
number = float(input_str)
|
||||
# 進行簡單計算
|
||||
result = number * 2
|
||||
return f"輸入參數 {input_str} 的兩倍是：{result}"
|
||||
except ValueError:
|
||||
# 如果不是數字，就當作字串處理
|
||||
return f"輸入的字串是：{input_str}\n反轉後是：{input_str[::-1]}"
|
||||
|
||||
if __name__ == "__main__":
|
||||
import sys
|
||||
|
||||
# 從標準輸入讀取參數
|
||||
input_data = input()
|
||||
|
||||
# 處理輸入並輸出結果
|
||||
result = process_input(input_data)
|
||||
print(result)
|
||||
BIN
src/views/__pycache__/device_connection_popup.cpython-311.pyc
Normal file
BIN
src/views/__pycache__/device_connection_popup.cpython-311.pyc
Normal file
Binary file not shown.
BIN
src/views/__pycache__/device_connection_popup.cpython-312.pyc
Normal file
BIN
src/views/__pycache__/device_connection_popup.cpython-312.pyc
Normal file
Binary file not shown.
BIN
src/views/__pycache__/mainWindows.cpython-311.pyc
Normal file
BIN
src/views/__pycache__/mainWindows.cpython-311.pyc
Normal file
Binary file not shown.
BIN
src/views/__pycache__/mainWindows.cpython-312.pyc
Normal file
BIN
src/views/__pycache__/mainWindows.cpython-312.pyc
Normal file
Binary file not shown.
BIN
src/views/__pycache__/main_page.cpython-311.pyc
Normal file
BIN
src/views/__pycache__/main_page.cpython-311.pyc
Normal file
Binary file not shown.
BIN
src/views/__pycache__/main_page.cpython-312.pyc
Normal file
BIN
src/views/__pycache__/main_page.cpython-312.pyc
Normal file
Binary file not shown.
70
src/views/device_connection_popup.py
Normal file
70
src/views/device_connection_popup.py
Normal file
@ -0,0 +1,70 @@
|
||||
# srcs/views/device_connection_popup.py
|
||||
from PyQt5.QtWidgets import QWidget, QVBoxLayout, QHBoxLayout, QLabel, QPushButton, QListWidget, QListWidgetItem
|
||||
from PyQt5.QtSvg import QSvgWidget
|
||||
from PyQt5.QtCore import Qt
|
||||
from ..config import UXUI_ASSETS, SECONDARY_COLOR, BUTTON_STYLE
|
||||
import os
|
||||
|
||||
class DeviceConnectionPopup(QWidget):
|
||||
def __init__(self, parent=None):
|
||||
super().__init__(parent)
|
||||
self.parent = parent
|
||||
self.init_ui()
|
||||
|
||||
def init_ui(self):
|
||||
# 設定彈出視窗的大小和樣式
|
||||
self.setFixedSize(int(self.parent.width() * 0.67), int(self.parent.height() * 0.67))
|
||||
self.setStyleSheet(f"""
|
||||
QWidget {{
|
||||
background-color: {SECONDARY_COLOR};
|
||||
border-radius: 20px;
|
||||
padding: 20px;
|
||||
}}
|
||||
""")
|
||||
|
||||
layout = QVBoxLayout(self)
|
||||
|
||||
# 標題列
|
||||
title_layout = QHBoxLayout()
|
||||
title_layout.setAlignment(Qt.AlignCenter)
|
||||
|
||||
# 容器來放置圖示和標籤
|
||||
title_container = QWidget()
|
||||
container_layout = QHBoxLayout(title_container)
|
||||
container_layout.setSpacing(10)
|
||||
|
||||
# 添加圖示
|
||||
device_icon = QSvgWidget(os.path.join(UXUI_ASSETS, "Assets_svg/ic_window_device.svg"))
|
||||
device_icon.setFixedSize(35, 35)
|
||||
container_layout.addWidget(device_icon)
|
||||
|
||||
# 添加標籤
|
||||
popup_label = QLabel("Device Connection")
|
||||
popup_label.setStyleSheet("color: white; font-size: 25px;")
|
||||
container_layout.addWidget(popup_label)
|
||||
|
||||
# 設置容器的對齊方式
|
||||
container_layout.setAlignment(Qt.AlignCenter)
|
||||
|
||||
# 將容器添加到標題布局中
|
||||
title_layout.addWidget(title_container)
|
||||
layout.addLayout(title_layout)
|
||||
|
||||
# 設備列表
|
||||
self.device_list_widget = QListWidget(self)
|
||||
layout.addWidget(self.device_list_widget)
|
||||
|
||||
# 按鈕區域
|
||||
button_layout = QHBoxLayout()
|
||||
|
||||
refresh_button = QPushButton("Refresh")
|
||||
refresh_button.clicked.connect(self.parent.refresh_devices)
|
||||
refresh_button.setStyleSheet(BUTTON_STYLE)
|
||||
button_layout.addWidget(refresh_button)
|
||||
|
||||
done_button = QPushButton("Done")
|
||||
done_button.setStyleSheet(BUTTON_STYLE)
|
||||
done_button.clicked.connect(self.parent.hide_device_popup)
|
||||
button_layout.addWidget(done_button)
|
||||
|
||||
layout.addLayout(button_layout)
|
||||
1143
src/views/mainWindows.py
Normal file
1143
src/views/mainWindows.py
Normal file
File diff suppressed because it is too large
Load Diff
BIN
test_images/fire2.jpeg
Normal file
BIN
test_images/fire2.jpeg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 245 KiB |
BIN
test_images/fire4.jpeg
Normal file
BIN
test_images/fire4.jpeg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 9.1 KiB |
BIN
test_images/fire5.jpeg
Normal file
BIN
test_images/fire5.jpeg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 7.2 KiB |
BIN
test_images/nofire1.jpeg
Normal file
BIN
test_images/nofire1.jpeg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 15 KiB |
35
update_diary.md
Normal file
35
update_diary.md
Normal file
@ -0,0 +1,35 @@
|
||||
## 20250204
|
||||
Times: 5 Hours
|
||||
### 完成:'
|
||||
1. 串接 python script 和 主程式
|
||||
### 尚未完成 / bug:
|
||||
1. 主程式傳遞 python script 需要的資料
|
||||
|
||||
## 20250205
|
||||
Times: 7 Hours
|
||||
### 完成:
|
||||
1. 添加 call python script 的 workflow
|
||||
2. 修改目前的格式標準
|
||||
### 尚未完成 / bug:
|
||||
1. 開啟相機後上傳資料會出現 crush -> 將相機啟動的時間改為選擇模式且該模式 input 需要鏡頭 (input_format: Thread?)
|
||||
2. script 端需要修正傳入需要處理的資料 -> 分解 param
|
||||
3. 將結果顯示在 APP 中 而不是 terminal
|
||||
4. 目前還沒有 bounding box 的 script 所以沒辦法嘗試相關的資料， 可以先寫一個簡單回傳 [(a,b), (c,d)] 的 sample code 進行 output 的 UI 串接和開發 (需要訂下bounding box 的 output format and parameter)
|
||||
5. 處理不同的 dongle 需要使用不同的 fw (偵測不同的資料夾)
|
||||
|
||||
|
||||
## 20250206
|
||||
Times: 8.5 Hours
|
||||
### 完成事項
|
||||
1. 將視訊鏡頭啟動時間修改成使用者選擇需要使用視訊鏡頭的模式
|
||||
2. 解決 once mode 在沒開啟鏡頭時沒辦法傳遞資料給 python script -> 將上傳的資料加入 frame 佇列 (相關細節在 select tool中)
|
||||
3. 修正 main app 傳遞的資料內容
|
||||
4. 添加 dongle 型號的辨認 -> 根據 configs.json 使用不同的 FW 對應到不同的 dongle, device box 中的圖片也是
|
||||
5. 添加 inference output 的 message box -> 之後要改成 Figma 中的 UI 樣式
|
||||
|
||||
### 尚未完成 / bug:
|
||||
1. 增加錄音的功能處理
|
||||
2. 增加不同 input format for python script -> 目前是用 numpy 的方式
|
||||
3. 修改 popup windows 中顯示的 dongle 型號 -> 使用類似 完成事項4 的方式使用之前的 mapping
|
||||
4. 修改 inference output format including bb and single model
|
||||
5. multi-dongle inference
|
||||
BIN
uxui/.DS_Store
vendored
Normal file
BIN
uxui/.DS_Store
vendored
Normal file
Binary file not shown.
BIN
uxui/Assets_gif/no_device_temp.gif
Normal file
BIN
uxui/Assets_gif/no_device_temp.gif
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 24 KiB |
BIN
uxui/Assets_png/ic_dongle_520.png
Normal file
BIN
uxui/Assets_png/ic_dongle_520.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 11 KiB |
BIN
uxui/Assets_png/ic_dongle_720.png
Normal file
BIN
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uxui/Assets_svg/bt_function_recording_hover.svg
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uxui/Assets_svg/bt_function_recording_normal.svg
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uxui/Assets_svg/bt_function_screencapture_disabled.svg
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Normal file
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Normal file
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uxui/Assets_svg/bt_function_screencapture_pressed.svg
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Normal file
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uxui/Assets_svg/bt_function_upload_disabled.svg
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uxui/Assets_svg/bt_function_upload_disabled.svg
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uxui/Assets_svg/bt_function_upload_hover.svg
Normal file
4
uxui/Assets_svg/bt_function_upload_hover.svg
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uxui/Assets_svg/bt_function_upload_normal.svg
Normal file
4
uxui/Assets_svg/bt_function_upload_normal.svg
Normal file
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<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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uxui/Assets_svg/bt_function_upload_pressed.svg
Normal file
4
uxui/Assets_svg/bt_function_upload_pressed.svg
Normal file
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<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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After Width: | Height: | Size: 1.1 KiB |
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uxui/Assets_svg/bt_function_video_hover.svg
Normal file
5
uxui/Assets_svg/bt_function_video_hover.svg
Normal file
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<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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After Width: | Height: | Size: 318 B |
5
uxui/Assets_svg/bt_function_video_normal.svg
Normal file
5
uxui/Assets_svg/bt_function_video_normal.svg
Normal file
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<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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After Width: | Height: | Size: 284 B |
5
uxui/Assets_svg/bt_function_video_pressed.svg
Normal file
5
uxui/Assets_svg/bt_function_video_pressed.svg
Normal file
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<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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After Width: | Height: | Size: 301 B |
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<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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After Width: | Height: | Size: 359 B |
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<svg width="40" height="40" viewBox="0 0 40 40" fill="none" xmlns="http://www.w3.org/2000/svg">
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After Width: | Height: | Size: 331 B |
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After Width: | Height: | Size: 346 B |
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uxui/Assets_svg/btn_dialog_device_disconnect_hover.svg
Normal file
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Normal file
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Normal file
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