SemanticSegmentation VS merged_depth

Compare SemanticSegmentation vs merged_depth and see what are their differences.

SemanticSegmentation

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation (by WillBrennan)
Pytorch torchvision Computer Vision semantic-segmentation Segmentation skin-segmentation skin-detection pizza-toppings Pizza Cats birds Coco labelme-annotations labelme bisenet bisenetv2
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merged_depth

Monocular Depth Estimation - Weighted-average prediction from multiple pre-trained depth estimation models (by p-ranav)
depth-prediction neural-networks Pytorch Python3 Torch torchvision Image processing Prediction average mit-license open-source Academic depth-estimation Camera Youtube Images average-calculator Machine Learning Deep Learning
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SemanticSegmentation merged_depth
1 3
166 45
- -
0.0 1.8
7 months ago over 2 years ago
Python Python
MIT License MIT License
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SemanticSegmentation

Posts with mentions or reviews of SemanticSegmentation. We have used some of these posts to build our list of alternatives and similar projects.

merged_depth

Posts with mentions or reviews of merged_depth. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-19.

What are some alternatives?

When comparing SemanticSegmentation and merged_depth you can also consider the following projects:

face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch

AdaBins - Official implementation of Adabins: Depth Estimation using adaptive bins

HDF5ImageMarker - Utility to making datasets of images and points coordinates that have been marked up on these images by user

Cam-Hackers - Hack Cameras CCTV FREE

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

magicavoxel-shaders - A collection of shaders for MagicaVoxel to generate geometry, noise, patterns, and simplify common and repetitive tasks.

mildlyoverfitted - Paper implementations from scratch and machine learning tutorials

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

SemanticSegmentation vs face-parsing.PyTorch merged_depth vs AdaBins SemanticSegmentation vs HDF5ImageMarker merged_depth vs Cam-Hackers SemanticSegmentation vs sahi merged_depth vs magicavoxel-shaders merged_depth vs mildlyoverfitted merged_depth vs OpenSeeFace merged_depth vs Jetson-Nano-Ubuntu-20-image merged_depth vs koila merged_depth vs Swin-Transformer-Serve merged_depth vs torchextractor