Update app.py

app.py

@@ -183,9 +183,9 @@ def process_video(video, resize_width=4000, resize_height=3000, frame_skip=5):
     fps = cap.get(cv2.CAP_PROP_FPS)
     total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))
     expected_duration = total_frames / fps if fps > 0 else 0
-    log_entries.append(f"Input video: {frame_width}x{frame_height} ({input_resolution/1e6:.2f}MP), {fps} FPS, {total_frames} frames, {expected_duration:.2f} seconds")
-    logging.info(f"Input video: {frame_width}x{frame_height} ({input_resolution/1e6:.2f}MP), {fps} FPS, {total_frames} frames, {expected_duration:.2f} seconds")
-    print(f"Input video: {frame_width}x{frame_height} ({input_resolution/1e6:.2f}MP), {fps} FPS, {total_frames} frames, {expected_duration:.2f} seconds")
+    log_entries.append(f"Input video: {frame_width}x{frame_height} ({input_resolution/1e6:.2f}MP), {fps} FPS, {total_frames} frames, {expected_duration:.2f} seconds, Frame skip: {frame_skip}")
+    logging.info(f"Input video: {frame_width}x{frame_height} ({input_resolution/1e6:.2f}MP), {fps} FPS, {total_frames} frames, {expected_duration:.2f} seconds, Frame skip: {frame_skip}")
+    print(f"Input video: {frame_width}x{frame_height} ({input_resolution/1e6:.2f}MP), {fps} FPS, {total_frames} frames, {expected_duration:.2f} seconds, Frame skip: {frame_skip}")
 
     out_width, out_height = resize_width, resize_height
     output_path = os.path.join(OUTPUT_DIR, "processed_output.mp4")
@@ -334,10 +334,10 @@ def process_video(video, resize_width=4000, resize_height=3000, frame_skip=5):
     avg_frame_time = sum(frame_times) / len(frame_times) if frame_times else 0
     log_entries.append(f"Output video: {output_frames} frames, {output_fps:.2f} FPS, {output_duration:.2f} seconds")
     logging.info(f"Output video: {output_frames} frames, {output_fps:.2f} FPS, {output_duration:.2f} seconds")
-    log_entries.append(f"Total Processing time: {total_time:.2f} seconds, Avg frame time: {avg_frame_time:.2f} ms, Detection frames: {detection_frame_count}, Output frames: {output_frame_count}")
-    logging.info(f"Total Processing time: {total_time:.2f} seconds, {avg_frame_time:.2f} Avg frame time: {detection_frame_count:.2f} ms, Detection frames: {output_frame_count:.2f}}, Output frames: {total_time}")
-    print(f"Output video: {total_time:.2f} seconds")
-    print(f"Total Processing time: {total_time:.2f} seconds, Avg frame time:: {avg_frame_time:.2f} ms, Detection frames: {detection_frame_count}, Output frames: {output_frame_count}")
+    log_entries.append(f"Total processing time: {total_time:.2f} seconds, Avg frame time: {avg_frame_time:.2f} ms, Detection frames: {detection_frame_count}, Output frames: {output_frame_count}")
+    logging.info(f"Total processing time: {total_time:.2f} seconds, Avg frame time: {avg_frame_time:.2f} ms, Detection frames: {detection_frame_count}, Output frames: {output_frame_count}")
+    print(f"Output video: {output_frames} frames, {output_fps:.2f} FPS, {output_duration:.2f} seconds")
+    print(f"Total processing time: {total_time:.2f} seconds, Avg frame time: {avg_frame_time:.2f} ms, Detection frames: {detection_frame_count}, Output frames: {output_frame_count}")
 
     chart_path = generate_line_chart()
     map_path = generate_map(gps_coordinates[-5:], all_detections)
@@ -364,18 +364,18 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="orange")) as iface:
     with gr.Row():
         with gr.Column(scale=3):
             video_input = gr.Video(label="Upload Video (12MP recommended for NHAI compliance)")
-            width_slider=gr.Slider(320, 4000, value=4000, label="Output Width", step=1)
-            height_slider=gr.Slider(240, 3000, value=3000, label="Output Height", step=1)
-            skip_slider = gr.Slider(1, 5, value=5, label="Frame Skip", step=1)
+            width_slider = gr.Slider(320, 4000, value=4000, label="Output Width", step=1)
+            height_slider = gr.Slider(240, 3000, value=3000, label="Output Height", step=1)
+            skip_slider = gr.Slider(1, 10, value=5, label="Frame Skip", step=1)
             process_btn = gr.Button("Process Video", variant="primary")
         with gr.Column(scale=1):
             metrics_output = gr.Textbox(label="Detection Metrics", lines=5, interactive=False)
     with gr.Row():
         video_output = gr.Video(label="Processed Video")
-        issue_gallery = gr.Gallery(label="Detected Issues", columns=2, height="auto", object_fit="contain")
+        issue_gallery = gr.Gallery(label="Detected Issues", columns=4, height="auto", object_fit="contain")
     with gr.Row():
         chart_output = gr.Image(label="Detection Trend")
-        map_output = gr.Image(label="Issue Locations")
+        map_output = gr.Image(label="Issue Locations Map")
     with gr.Row():
         logs_output = gr.Textbox(label="Logs", lines=5, interactive=False)
     with gr.Row():
@@ -404,5 +404,4 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="orange")) as iface:
     )
 
 if __name__ == "__main__":
-    iface.launch()
-
+    iface.launch()