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b/data/final_masks/attention_probs_A fish swimming in the water/del_files.py new file mode 100644 index 0000000000000000000000000000000000000000..6e9ced94352c6e366b7d0cade1c3ea2e5bd940bc --- /dev/null +++ b/data/final_masks/attention_probs_A fish swimming in the water/del_files.py @@ -0,0 +1,20 @@ +import os + +# Directory containing the files +directory = '.' + +# Iterate over all files in the directory +for filename in os.listdir(directory): + # Check if the filename matches the expected format + if filename.startswith('frame_') and filename.endswith('.png'): + # Extract the frame number from the filename + parts = filename.split('_') + frame_number = int(parts[1]) # This is the frame number, as an integer + + # Check if the frame number is odd + if frame_number % 2 == 1: + # Construct full path to the file + file_path = os.path.join(directory, filename) + # Delete the file + os.remove(file_path) + print(f"Deleted {filename}") \ No newline at end of file diff --git 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b/data/videos/a_spider/video/frame_0014.png differ diff --git a/data/videos/a_spider/video/frame_0015.png b/data/videos/a_spider/video/frame_0015.png new file mode 100644 index 0000000000000000000000000000000000000000..dd7e0b5df2366b8e27bd65aae91f62fec37e3cdb Binary files /dev/null and b/data/videos/a_spider/video/frame_0015.png differ diff --git a/src/app_cached_videos.py b/src/app_cached_videos.py index 711ba7dffeadaf3e26754fd2d073a9eeb0a08c55..83a683d06743385c4ae456d020a31e1194be7d4a 100644 --- a/src/app_cached_videos.py +++ b/src/app_cached_videos.py @@ -64,13 +64,13 @@ def fetch_proper_img(prompt, word, frame_num, diffusion_step, layer_num=0): else: layer_num = 100 if layer_num == 3 else layer_num - video_file_name = f"data/videos/{prompt.replace(' ', '_')}/video/frame_{frame_num:04d}.png" + video_file_name = f"./data/videos/{prompt.replace(' ', '_')}/video/frame_{frame_num:04d}.png" img = cv2.imread(video_file_name) if word is None: overlaid_image = img else: - mask_file_name = f'data/final_masks/attention_probs_{prompt}/frame_{frame_num}_layer_{layer_num}_diffusionstep_{diffusion_step}_token_{get_token_number(prompt, word)}.png' + mask_file_name = f'./data/final_masks/attention_probs_{prompt}/frame_{frame_num}_layer_{layer_num}_diffusionstep_{diffusion_step}_token_{get_token_number(prompt, word)}.png' mask = cv2.imread(mask_file_name, cv2.IMREAD_GRAYSCALE) overlaid_image = overlay_mask(img, mask) print(mask_file_name) @@ -125,7 +125,7 @@ with gr.Blocks(css=css) as demo: submit_btn = gr.Button('Get words') with gr.Group('Word Selection'): radio = gr.Radio(text.split(' '), value=None, label='Choose a word to visualize its attention mask.') - range_slider = gr.Slider(1, 16, 1, step=1, label='Frame of the generated video to visualize the attention mask.') + range_slider = gr.Slider(1, 16, 1, step=2, label='Frame of the generated video to visualize the attention mask.') diffusion_slider = gr.Slider(0, 35, 0, step=5, label='Index of diffusion steps.') layer_num_slider = gr.Slider(0, 6, 0, step=1, label='Layer number for attention mask.') radio.change(fetch_proper_img, inputs=[txt_1, radio, range_slider, diffusion_slider, layer_num_slider], outputs=[video_1, video_2])