Naveenkumar1546 commited on
Commit
12e349c
·
verified ·
1 Parent(s): 65c2d6d

Update app.py

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Files changed (1) hide show
  1. app.py +2 -12
app.py CHANGED
@@ -1,9 +1,3 @@
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- # Full code integrating:
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- # - Fault timestamps
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- # - CSV export
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- # - Clickable snapshots
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- # - Heatmap overlay
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-
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  import streamlit as st
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  import cv2
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  import numpy as np
@@ -58,10 +52,6 @@ def detect_faults(frame, results, frame_idx, fps):
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  "Fault Type": label,
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  "Confidence": round(float(box.conf[0]), 2) if box.conf is not None else None,
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  "Intensity": round(mean_intensity, 2),
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- "X1": x1,
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- "Y1": y1,
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- "X2": x2,
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- "Y2": y2,
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  "Box": f"({x1}, {y1}, {x2}, {y2})"
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  })
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@@ -71,7 +61,6 @@ def detect_faults(frame, results, frame_idx, fps):
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  return annotated_frame, faults_found
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-
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  def process_video(video_path):
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  cap = cv2.VideoCapture(video_path)
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  if not cap.isOpened():
@@ -115,7 +104,8 @@ def process_video(video_path):
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  snapshots.append(snapshot_path)
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  for fault in faults_found:
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- heatmap[fault["Y1"]:fault["Y2"], fault["X1"]:fault["X2"]] += 1
 
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  else:
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  annotated_frame = frame
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  import streamlit as st
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  import cv2
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  import numpy as np
 
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  "Fault Type": label,
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  "Confidence": round(float(box.conf[0]), 2) if box.conf is not None else None,
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  "Intensity": round(mean_intensity, 2),
 
 
 
 
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  "Box": f"({x1}, {y1}, {x2}, {y2})"
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  })
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  return annotated_frame, faults_found
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  def process_video(video_path):
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  cap = cv2.VideoCapture(video_path)
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  if not cap.isOpened():
 
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  snapshots.append(snapshot_path)
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  for fault in faults_found:
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+ x1, y1, x2, y2 = map(int, fault["Box"].strip("()").split(","))
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+ heatmap[y1:y2, x1:x2] += 1
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  else:
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  annotated_frame = frame
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