amosfang commited on
Commit
a8989d5
1 Parent(s): d07cb08

Update app.py

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Files changed (1) hide show
  1. app.py +0 -18
app.py CHANGED
@@ -10,7 +10,6 @@ from object_detection.utils import ops as utils_op
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  import gradio as gr
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  # from huggingface_hub import snapshot_download
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  import os
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- from tqdm import tqdm
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  import cv2
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@@ -68,23 +67,6 @@ def predict_on_video(video_in_filepath, video_out_filepath, detection_model, cat
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  processed_frame = predict(frame)
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  processed_frame_np = np.array(processed_frame)
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  video_writer.write(processed_frame_np)
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- # for i in tqdm(range(nb_frames)):
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- # ret, image_np = video_reader.read()
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- # input_tensor = tf.convert_to_tensor(np.expand_dims(image_np, 0), dtype=tf.uint8)
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- # results = detection_model(input_tensor)
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- # viz_utils.visualize_boxes_and_labels_on_image_array(
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- # image_np,
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- # results['detection_boxes'][0].numpy(),
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- # (results['detection_classes'][0].numpy()+ label_id_offset).astype(int),
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- # results['detection_scores'][0].numpy(),
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- # category_index,
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- # use_normalized_coordinates=True,
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- # max_boxes_to_draw=200,
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- # min_score_thresh=.50,
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- # agnostic_mode=False,
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- # line_thickness=2)
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-
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- # video_writer.write(np.uint8(image_np))
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  # Release camera and close windows
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  video_reader.release()
 
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  import gradio as gr
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  # from huggingface_hub import snapshot_download
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  import os
 
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  import cv2
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  processed_frame = predict(frame)
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  processed_frame_np = np.array(processed_frame)
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  video_writer.write(processed_frame_np)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Release camera and close windows
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  video_reader.release()