MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022" (by isl-org)

MiDaS Alternatives

Similar projects and alternatives to MiDaS

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MiDaS reviews and mentions

Posts with mentions or reviews of MiDaS. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-13.
  • Distance estimation from monocular vision using deep learning
    3 projects | /r/computervision | 13 Jun 2023
    For example, here is MiDaS from Intel Research that does monocular depth estimation.
    3 projects | /r/computervision | 13 Jun 2023
    Hi, I have made use of the KITTI dataset for this, and yes it depends on objects of know sizes. Here I have defined the following classes: Car, Van, Truck, Pedestrian, Person_sitting, Cyclist, Tram, Misc, or DontCare and the predictions are pretty accurate for those classes. Even if it's not the same class, it still recognizes the object since I have made use of the coco names dataset here and that is used along with YOLO for object detection. And there are several already implemented projects that make use of deep learning models trained on 2D datasets to predict 3D distance. This was one of my inspirations for this project: https://blogs.nvidia.com/blog/2019/06/19/drive-labs-distance-to-object-detection/ Furthermore, there are well-documented and researched papers like DistYOLO or MiDaS that makes use of deep learning for depth estimation
  • OMPR V0.6.10 update
    2 projects | /r/u_OMPR_App | 14 Mar 2023
    -Added AI image depth generator Create your own depth map image at a click of a button. Using the awesome MIDAS3.1 https://github.com/isl-org/MiDaS as the backend and the model "dpt_beit_large_512" for the highest quality depth map. Video and GIF depth map generators coming out next together with the Depth movie player feature.
  • MiDaS v3_1 and DiscoDiffusion
    2 projects | /r/DiscoDiffusion | 27 Dec 2022
    The problem came up after MiDaS updated to version V3_1 on Dec 24th. Although the fix works fine, with the new version there are many changes, which for me produces slightly different results. I would like to able to produce results like before. I still clone the MiDaS repo, but then set it back to the last commit before the changes in december, which is 66882994a432727317267145dc3c2e47ec78c38a.
  • File not found error
    3 projects | /r/DiscoDiffusion | 27 Dec 2022
    try: from midas.dpt_depth import DPTDepthModel except: if not os.path.exists('MiDaS'): gitclone("https://github.com/isl-org/MiDaS.git") gitclone("https://github.com/bytedance/Next-ViT.git", f'{PROJECT_DIR}/externals/Next_ViT') if not os.path.exists('MiDaS/midas_utils.py'): shutil.move('MiDaS/utils.py', 'MiDaS/midas_utils.py') if not os.path.exists(f'{model_path}/dpt_large-midas-2f21e586.pt'): wget("https://github.com/intel-isl/DPT/releases/download/1_0/dpt_large-midas-2f21e586.pt", model_path) sys.path.append(f'{PROJECT_DIR}/MiDaS')
  • A quick demo to show how structurally coherent depth2img is compared to img2img using Automatic1111.
    2 projects | /r/StableDiffusion | 12 Dec 2022
    Cool. The repo for MiDaS is here. https://github.com/isl-org/MiDaS You can see that they partially trained the model on 3D movies Here's a list of the movies that were used to train it. I wonder if they'll be training a MiDaS v 4.0 as things have moved on quite a bit since it was released in Apr 2021?
  • Boosting Monocular Depth repo
    3 projects | /r/computervision | 9 Dec 2022
    We present a stand-alone implementation of our Merging Operator. This new repo allows using any pair of monocular depth estimations in our double estimation. This includes using separate networks for base and high-res estimations, using networks not supported by this repo (such as Midas-v3), or using manually edited depth maps for artistic use. This will also be useful for scientists developing CNN-based MDE as a way to quickly apply double estimation to their own network. For more details please take a look here.
  • DepthViewer is now live on Steam :)
    3 projects | /r/virtualreality | 30 Nov 2022
    I'll make the feature to export only the depthmap .png file. If you need the depthmap .png right now you can use the MiDaS python script.
  • Wow, depth map and img2img are wild
    3 projects | /r/StableDiffusion | 30 Nov 2022
    The latter. It uses a pretrained network called MiDaS to estimate image depth. If I'm not mistaken this will produce a depth estimation of the same resolution as the image, and then downsample that to the latent space's dimension (64x64 for a 512x512 image I think) and pass it in as extra conditioning.
  • Generate multiple complex subjects on a single image all at once with a depth aware custom extension!
    5 projects | /r/StableDiffusion | 24 Nov 2022
    C:\PROGRAMME2\stable_diffusion_automatic1111\stable-diffusion-webui>git clone https://github.com/isl-org/MiDaS.git repositories/midas
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