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Discover the meaning and copy the symbol ↧ Downwards Arrow from Bar (Depth symbol) on SYMBL ( ‿ )! Unicode number: U+21A7. HTML: ↧. Subblock “Arrows with modifications” in Block “Arrows”. Find out where and how to use this symbol!
- \21A7
- U+21A7
- Downwards Arrow from Bar
Aug 13, 2024 · Press & Hold the Alt key. While the Alt key is held down: Type the sequence of numbers (on the numeric keypad) of the ALT code from the table below. Release the Alt key, and the character will appear. Notes: If a preceding zero is listed in the code, it is required that you type it in.
CharacterAlt Code*CharacterAlt Code*☺Alt 1AAlt 65☻Alt 2BAlt 66♥Alt 3CAlt 67♦Alt 4DAlt 68Dec 8, 2018 · --depth means the number of commits to grab when you clone. By default git download all your history of all branches. Meaning that your copy will have to all history, so you will be able to "switch" (checkout) to any commit you wish.
- Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
- News
- Features of Depth Anything
- Performance
- Pre-trained models
- Usage
- Community Support
- Acknowledgement
- Citation
Lihe Yang1 · Bingyi Kang2+ · Zilong Huang2 · Xiaogang Xu3,4 · Jiashi Feng2 · Hengshuang Zhao1+
1The University of Hong Kong · 2TikTok · 3Zhejiang Lab · 4Zhejiang University
+corresponding authors
This work presents Depth Anything, a highly practical solution for robust monocular depth estimation by training on a combination of 1.5M labeled images and 62M+ unlabeled images.
•2024-02-05: Depth Anything Gallery is released. Thank all the users!
•2024-02-02: Depth Anything serves as the default depth processor for InstantID and InvokeAI.
•2024-01-25: Support video depth visualization. An online demo for video is also available.
•2024-01-23: The new ControlNet based on Depth Anything is integrated into ControlNet WebUI and ComfyUI's ControlNet.
•2024-01-23: Depth Anything ONNX and TensorRT versions are supported.
•2024-01-22: Paper, project page, code, models, and demo (HuggingFace, OpenXLab) are released.
If you need other features, please first check existing community supports.
•Relative depth estimation:
Our foundation models listed here can provide relative depth estimation for any given image robustly. Please refer here for details.
•Metric depth estimation
We fine-tune our Depth Anything model with metric depth information from NYUv2 or KITTI. It offers strong capabilities of both in-domain and zero-shot metric depth estimation. Please refer here for details.
•Better depth-conditioned ControlNet
Here we compare our Depth Anything with the previously best MiDaS v3.1 BEiTL-512 model.
Please note that the latest MiDaS is also trained on KITTI and NYUv2, while we do not.
We provide three models of varying scales for robust relative depth estimation:
Note that the V100 and A100 inference time (without TensorRT) is computed by excluding the pre-processing and post-processing stages, whereas the last column RTX4090 (with TensorRT) is computed by including these two stages (please refer to Depth-Anything-TensorRT).
You can easily load our pre-trained models by:
Depth Anything is also supported in transformers. You can use it for depth prediction within 3 lines of code (credit to @niels).
Installation Running
Arguments: •--img-path: you can either 1) point it to an image directory storing all interested images, 2) point it to a single image, or 3) point it to a text file storing all image paths. •--pred-only is set to save the predicted depth map only. Without it, by default, we visualize both image and its depth map side by side. •--grayscale is set to save the grayscale depth map. Without it, by default, we apply a color palette to the depth map. For example: If you want to use Depth Anything on videos:
Gradio demo
To use our gradio demo locally: You can also try our online demo.
Import Depth Anything to your project
If you want to use Depth Anything in your own project, you can simply follow run.py to load our models and define data pre-processing.
We sincerely appreciate all the extentions built on our Depth Anything from the community. Thank you a lot!
Here we list the extensions we have found:
•Depth Anything TensorRT:
•https://github.com/spacewalk01/depth-anything-tensorrt
•https://github.com/thinvy/DepthAnythingTensorrtDeploy
•https://github.com/daniel89710/trt-depth-anything
We would like to express our deepest gratitude to AK(@_akhaliq) and the awesome HuggingFace team (@niels, @hysts, and @yuvraj) for helping improve the online demo and build the HF models.
Besides, we thank the MagicEdit team for providing some video examples for video depth estimation, and Tiancheng Shen for evaluating the depth maps with MagicEdit.
If you find this project useful, please consider citing:
Metric depth estimation from a single image. Contribute to isl-org/ZoeDepth development by creating an account on GitHub.
Depth Estimation is the task of measuring the distance of each pixel relative to the camera. Depth is extracted from either monocular (single) or stereo (multiple views of a scene) images. Traditional methods use multi-view geometry to find the relationship between the images.
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Dec 1, 2022 · Definition: The depth symbol is used to indicate a measurement from the bottom of a feature to the outer surface of a part. The depth symbol is commonly used for holes, but can be used on other features as well, such as slots or counterbores.
