Abbott Elementary S02e01 720p Web-dl |work| -

import cv2 import torch from transformers import CLIPProcessor, CLIPModel model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32") processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")

A "deep feature" could mean several things. Could you specify which one you need? abbott elementary s02e01 720p web-dl

cap = cv2.VideoCapture("abbott_s02e01_720p.webdl.mp4") frame_embeddings = [] while cap.isOpened(): ret, frame = cap.read() if not ret: break inputs = processor(images=frame, return_tensors="pt") with torch.no_grad(): emb = model.get_image_features(**inputs) # 512-dim feature vector frame_embeddings.append(emb.cpu().numpy()) cap.release() abbott elementary s02e01 720p web-dl

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