bytedance / bytedance/SIFThinker
about depth map
- Dominant language
- Python
- Stars
- 14
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
Thank you for your open-source work. I'm working on running the CoT data from scratch and need to use Depth Anything V2 to generate the depth maps ourselves. The extracted archive only contains the original images, without any depth maps. My question is: should the required depth maps here be in the range of 0 to 255? Are they generated through the following calculations:
depth = depth_anything.infer_image(raw_image, args.input_size)
depth = (depth - depth.min()) / (depth.max() - depth.min()) * 255.0
depth = depth.astype(np.uint8)
depth = (cmap(depth)[:, :, :3] * 255)[:, :, ::-1].astype(np.uint8)?
Contributor guide
No contributing guide indexed for this repository
Research direction
No file, test, or entry point is named. First determine how the repository consumes depth maps and whether Depth Anything V2 preprocessing is documented; done means the expected value range and conversion steps are explicitly answered or documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100