merged_depth
AdaBins
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| merged_depth | AdaBins | |
|---|---|---|
| 3 | 3 | |
| 45 | 673 | |
| - | - | |
| 1.8 | 0.0 | |
| over 2 years ago | almost 2 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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merged_depth
- [P] Monocular Depth Estimation - I ran a number of fairly well-known pre-trained models and looked at the average
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Monocular Depth Estimation - Running multiple pre-trained models and looking at the average
Project Link: https://github.com/p-ranav/merged_depth
- I ran 4 pre-trained depth estimation models and looked at the average
AdaBins
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FileNotFoundError
if os.path.exists("AdaBins") is not True: gitclone("https://github.com/shariqfarooq123/AdaBins.git")
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I DON'T KNOW WHAT I'M DOING: VQGAN+CLIP, limited palette, AdaBins, and RIFE
AdaBins: Depth Estimation using Adaptive Bins * https://github.com/shariqfarooq123/AdaBins * https://arxiv.org/abs/2011.14141
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Monocular Depth Estimation - Running multiple pre-trained models and looking at the average
I was curious what would happen if I ran a few of these models on the same input and calculated the average. So, I ran (1) [AdaBins](https://github.com/shariqfarooq123/AdaBins) (NYU + KITTI models), (2) [DiverseDepth](https://github.com/YvanYin/DiverseDepth), (3) [MiDaS](https://github.com/intel-isl/MiDaS), and (4) [SGDepth](https://github.com/ifnspaml/SGDepth), and calculated a weighted-average depth prediction.
What are some alternatives?
Cam-Hackers - Hack Cameras CCTV FREE
Practical-RIFE - We are developing more practical approach for users based on RIFE.
magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.
ZoeDepth - Metric depth estimation from a single image
mildlyoverfitted - Paper implementations from scratch and machine learning tutorials
DiverseDepth - The code and data of DiverseDepth
OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration
Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image
koila - Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.
Swin-Transformer-Serve - Deploy Swin Transformer using TorchServe
torchextractor - Feature extraction made simple with torchextractor
torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data