1300 Open source projects that are alternatives of or similar to Open3d Ml

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A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

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Be Driven 🚘

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The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

train test labels for sunrgbd

C++ based toolbox for the SUNCG dataset

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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The ROS Package of Mask R-CNN for Object Detection and Segmentation

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

FrostNet: Towards Quantization-Aware Network Architecture Search

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Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

A curated list of awesome data labeling tools

Research platform for 3D object detection in PyTorch.

Deep Learning sample programs using PyTorch in C++

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[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Segmentation models with pretrained backbones. PyTorch.

Sandbox for training deep learning networks

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EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

An implementation of RetinaNet in PyTorch.

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations.

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