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debug: Remove emojis and add debug info for FPS calculation

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- Remove all emojis from terminal output formatting for cleaner display
- Add debug print statement to track pipeline.get_current_fps() values
- Change FPS display to "Pipeline FPS (Output Queue)" for clarity
- Simplify output formatting by removing emoji decorations
- This will help identify why FPS calculation isn't working as expected

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Masonmason 2025-07-24 19:43:43 +08:00
parent 7a71e77aae
commit 4b8fb7fead
1 changed files with 24 additions and 22 deletions
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46
cluster4npu_ui/ui/dialogs/deployment.py
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@ -191,7 +191,9 @@ class DeploymentWorker(QThread):
# Set up both GUI and terminal result callbacks # Set up both GUI and terminal result callbacks
def combined_result_callback(result_dict): def combined_result_callback(result_dict):
# Add current FPS from pipeline to result_dict # Add current FPS from pipeline to result_dict
result_dict['current_pipeline_fps'] = pipeline.get_current_fps() current_fps = pipeline.get_current_fps()
result_dict['current_pipeline_fps'] = current_fps
print(f"DEBUG: Pipeline FPS = {current_fps:.2f}") # Debug info
# Send to GUI terminal and results display # Send to GUI terminal and results display
terminal_output = self._format_terminal_results(result_dict) terminal_output = self._format_terminal_results(result_dict)
@ -232,7 +234,7 @@ class DeploymentWorker(QThread):
pipeline_id = result_dict.get('pipeline_id', 'Unknown') pipeline_id = result_dict.get('pipeline_id', 'Unknown')
output_lines = [] output_lines = []
output_lines.append(f"\n🔥 INFERENCE RESULT [{timestamp}]") output_lines.append(f"\nINFERENCE RESULT [{timestamp}]")
output_lines.append(f" Pipeline ID: {pipeline_id}") output_lines.append(f" Pipeline ID: {pipeline_id}")
output_lines.append(" " + "="*50) output_lines.append(" " + "="*50)
@ -240,69 +242,69 @@ class DeploymentWorker(QThread):
stage_results = result_dict.get('stage_results', {}) stage_results = result_dict.get('stage_results', {})
if stage_results: if stage_results:
for stage_id, result in stage_results.items(): for stage_id, result in stage_results.items():
output_lines.append(f" 📊 Stage: {stage_id}") output_lines.append(f" Stage: {stage_id}")
if isinstance(result, tuple) and len(result) == 2: if isinstance(result, tuple) and len(result) == 2:
# Handle tuple results (probability, result_string) - matching actual format # Handle tuple results (probability, result_string) - matching actual format
probability, result_string = result probability, result_string = result
output_lines.append(f" ✅ Result: {result_string}") output_lines.append(f" Result: {result_string}")
output_lines.append(f" 📈 Probability: {probability:.3f}") output_lines.append(f" Probability: {probability:.3f}")
# Add confidence level # Add confidence level
if probability > 0.8: if probability > 0.8:
confidence = "🟢 Very High" confidence = "Very High"
elif probability > 0.6: elif probability > 0.6:
confidence = "🟡 High" confidence = "High"
elif probability > 0.4: elif probability > 0.4:
confidence = "🟠 Medium" confidence = "Medium"
else: else:
confidence = "🔴 Low" confidence = "Low"
output_lines.append(f" 🎯 Confidence: {confidence}") output_lines.append(f" Confidence: {confidence}")
elif isinstance(result, dict): elif isinstance(result, dict):
# Handle dict results # Handle dict results
for key, value in result.items(): for key, value in result.items():
if key == 'probability': if key == 'probability':
output_lines.append(f" 📈 {key.title()}: {value:.3f}") output_lines.append(f" {key.title()}: {value:.3f}")
elif key == 'result': elif key == 'result':
output_lines.append(f" ✅ {key.title()}: {value}") output_lines.append(f" {key.title()}: {value}")
elif key == 'confidence': elif key == 'confidence':
output_lines.append(f" 🎯 {key.title()}: {value}") output_lines.append(f" {key.title()}: {value}")
elif key == 'fused_probability': elif key == 'fused_probability':
output_lines.append(f" 🔀 Fused Probability: {value:.3f}") output_lines.append(f" Fused Probability: {value:.3f}")
elif key == 'individual_probs': elif key == 'individual_probs':
output_lines.append(f" 📋 Individual Probabilities:") output_lines.append(f" Individual Probabilities:")
for prob_key, prob_value in value.items(): for prob_key, prob_value in value.items():
output_lines.append(f" {prob_key}: {prob_value:.3f}") output_lines.append(f" {prob_key}: {prob_value:.3f}")
else: else:
output_lines.append(f" 📝 {key}: {value}") output_lines.append(f" {key}: {value}")
else: else:
# Handle other result types # Handle other result types
output_lines.append(f" 📝 Raw Result: {result}") output_lines.append(f" Raw Result: {result}")
output_lines.append("") # Blank line between stages output_lines.append("") # Blank line between stages
else: else:
output_lines.append(" ⚠️ No stage results available") output_lines.append(" No stage results available")
# Processing time if available # Processing time if available
metadata = result_dict.get('metadata', {}) metadata = result_dict.get('metadata', {})
if 'total_processing_time' in metadata: if 'total_processing_time' in metadata:
processing_time = metadata['total_processing_time'] processing_time = metadata['total_processing_time']
output_lines.append(f" ⏱️ Processing Time: {processing_time:.3f}s") output_lines.append(f" Processing Time: {processing_time:.3f}s")
# Real-time FPS calculation based on output queue throughput # Real-time FPS calculation based on output queue throughput
current_fps = result_dict.get('current_pipeline_fps', 0.0) current_fps = result_dict.get('current_pipeline_fps', 0.0)
if current_fps > 0: if current_fps > 0:
output_lines.append(f" 🚄 Pipeline FPS: {current_fps:.2f}") output_lines.append(f" Pipeline FPS (Output Queue): {current_fps:.2f}")
else: else:
output_lines.append(f" 🚄 Pipeline FPS: Calculating...") output_lines.append(f" Pipeline FPS (Output Queue): Calculating...")
# Additional metadata # Additional metadata
if metadata: if metadata:
interesting_keys = ['dongle_count', 'stage_count', 'queue_sizes', 'error_count'] interesting_keys = ['dongle_count', 'stage_count', 'queue_sizes', 'error_count']
for key in interesting_keys: for key in interesting_keys:
if key in metadata: if key in metadata:
output_lines.append(f" 📋 {key.replace('_', ' ').title()}: {metadata[key]}") output_lines.append(f" {key.replace('_', ' ').title()}: {metadata[key]}")
output_lines.append(" " + "="*50) output_lines.append(" " + "="*50)