Open Tartisan opened 7 months ago
cap = cv2.VideoCapture('video.mp4')
ret, frame = cap.read()
frame = cv2.resize(frame, (640, 384))
rgb = torch.tensor(frame).permute(2,0,1).unsqueeze(0)/255.
with torch.no_grad():
depth_pred = zerodepth_model(rgb, intrinsics)
depthmap = depth_pred.permute(0,2,3,1).squeeze().detach().cpu().numpy()
depthmap = np.uint8(depthmap/np.max(depthmap) * 255)
depthmap = cv2.applyColorMap(depthmap, cv2.COLORMAP_JET)
out = np.hstack([frame, depthmap])
cv2.imshow("depthmap", out)
Sorry I'm new in this area, how to visualize the depth_pred from ZeroDepth or PackNet ?