Update app.py

app.py

@@ -111,18 +111,38 @@ Task Context:
 You are analyzing video footage from Step {step_number} of a tire manufacturing process where a delay has been detected. Your task is to determine the most likely cause of the delay from the following possible reasons:
 {', '.join(possible_reasons)}
 Required Analysis:
- Carefully observe the video for visual cues indicating production interruption.Analyse frames and contours around the object.
+Required Analysis:
+ Carefully observe the video for visual cues indicating production interruption.Analyse frames and contours around the objects: 'h-stock_left','h-stock_right','conveyor1','conveyor2','compressor_metal','person','orange_roller_metal_left','orange_roller_metal_right','white_down_roller_left','white_down_roller_right','vaccum_blue'.
+ If no person is visible in any of the frames, the reason probably might be due to his absence.
+ If a person is visible in the video and is observed touching and modifying the layers of the tire, it means there is a issue with tyre being patched hence he is repatching it.
+ Compare observed evidence against each possible delay reason.
+ Select the most likely reason based on visual evidence.
+Also Analyze the delay in movement of the following objects from the provided manufacturing video:
+    
+1. **h_stock_left**: Identified by contours with the color **Green**.
+2. **h_stock_right**: Identified by contours with the color **Pink**.
+3. **compressor_metal**: Identified by contours with the color **Orange**.
+4. **conveyor2**: Identified by contours with the color **Blue**.
+5. **white_down_roller_left**: Identified by contours with the color **White**.
+6. **conveyor1**: Identified by contours with the color **Brown**.
+Steps for analysis:
+- Extract the contours for each specified color.
+- Track the movement of each object across frames in the video.
+- Identify and measure any delays or inconsistencies in their expected movement patterns.
+Note:
+- Ensure precise detection of contours based on the given color definitions.
+- Account for occlusions, overlaps, and changes in visibility.
+- Include a summary report of detected delays for each object.
+ Carefully observe the video for visual cues indicating production interruption.Analyse frames and contours around the objects: 'h-stock_left','h-stock_right','conveyor1','conveyor2','compressor_metal','person','orange_roller_metal_left','orange_roller_metal_right','white_down_roller_left','white_down_roller_right','vaccum_blue'.
  If no person is visible in any of the frames, the reason probably might be due to his absence.
  If a person is visible in the video and is observed touching and modifying the layers of the tire, it means there is a issue with tyre being patched hence he is repatching it.
  Compare observed evidence against each possible delay reason.
  Select the most likely reason based on visual evidence.
-
 Please provide your analysis in the following format:
 1. Selected Reason: [State the most likely reason from the given options]
 2. Visual Evidence: [Describe specific visual cues that support your selection]
 3. Reasoning: [Explain why this reason best matches the observed evidence]
 4. Alternative Analysis: [Brief explanation of why other possible reasons are less likely]
-
 Important: Base your analysis solely on visual evidence from the video. Focus on concrete, observable details rather than assumptions. Clearly state if no person or specific activity is observed."""