31 lines
1.4 KiB
JSON
31 lines
1.4 KiB
JSON
{
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"model_info": {
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"input_onnx_file": "/data1/yolov5s_e.onnx", //must, where is the model
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"model_inputs": [{
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"model_input_name": "data_out_0" , // For knerex
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"input_image_folder": "/data1/100_image/yolov5", // For knerex
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},{
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"model_input_name": "data_out_1" , // For knerex
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"input_image_folder": "/data1/100_image/yolov5", // For knerex
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}],
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"quantize_mode": "default", // For knerex, optional, could be default or post_sigmoid
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"outlier": 0.999 // For knerex, rm outliers when calculating max & min. It should be <= 1.0. If not given, default is 0.999.
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},
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"preprocess": {
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"img_preprocess_method": "kneron", //should we provide definition of each option
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"img_channel": "RGB", //RGB, BGR, ...
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"radix": 8,
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"keep_aspect_ratio": true, //optional
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"pad_mode": 1, //optional pad mode
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"p_crop": { //optional
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"crop_x": 0,
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"crop_y": 0,
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"crop_w": 0,
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"crop_h": 0
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}
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},
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"simulator_img_files": [{
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"model_input_name": "data_out" , // For simulator
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"input_image": "/data1/100_image/yolov5/a.jpg", // For simulator
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}] //optional
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} |