Spaces:
Running
Running
back to normal resolution 384x384 at 75% compression quality
Browse files
app.py
CHANGED
@@ -124,17 +124,17 @@ def caption_frame(frame, size, model_file, clip_file, interval_ms, sys_prompt, u
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debug_msgs.append(f"[{timestamp}] Using CLIP weights: {clip_file}")
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t_resize = time.time()
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-
img = cv2.resize(frame.copy(), (
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elapsed = (time.time() - t_resize) * 1000
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timestamp = time.strftime('%H:%M:%S')
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-
debug_msgs.append(f"[{timestamp}] Resized to
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timestamp = time.strftime('%H:%M:%S')
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debug_msgs.append(f"[{timestamp}] Sleeping for {interval_ms} ms")
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time.sleep(interval_ms / 1000)
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t_enc = time.time()
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params = [int(cv2.IMWRITE_JPEG_QUALITY),
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success, jpeg = cv2.imencode('.jpg', img, params)
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elapsed = (time.time() - t_enc) * 1000
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timestamp = time.strftime('%H:%M:%S')
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debug_msgs.append(f"[{timestamp}] Using CLIP weights: {clip_file}")
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t_resize = time.time()
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+
img = cv2.resize(frame.copy(), (384, 384))
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elapsed = (time.time() - t_resize) * 1000
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timestamp = time.strftime('%H:%M:%S')
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debug_msgs.append(f"[{timestamp}] Resized to 384x384 in {elapsed:.1f} ms")
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timestamp = time.strftime('%H:%M:%S')
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debug_msgs.append(f"[{timestamp}] Sleeping for {interval_ms} ms")
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time.sleep(interval_ms / 1000)
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t_enc = time.time()
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+
params = [int(cv2.IMWRITE_JPEG_QUALITY), 75]
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success, jpeg = cv2.imencode('.jpg', img, params)
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elapsed = (time.time() - t_enc) * 1000
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timestamp = time.strftime('%H:%M:%S')
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