keypoint_rcnn_training_pytorch VS LOTICv2

Compare keypoint_rcnn_training_pytorch vs LOTICv2 and see what are their differences.

LOTICv2

LOTIC machine learning code made for use with Nvidia Xavier NX and YOLO object detection models (by keaneflynn)
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keypoint_rcnn_training_pytorch LOTICv2
1 1
74 4
- -
0.0 0.0
about 1 year ago about 1 year ago
Python Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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keypoint_rcnn_training_pytorch

Posts with mentions or reviews of keypoint_rcnn_training_pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-14.
  • Load Keypoint Detection Problem
    2 projects | /r/pytorch | 14 Feb 2023
    The first one (https://github.com/alexppppp/keypoint_rcnn_training_pytorch), the result that is obtained from models using PyTorch looks like this:

LOTICv2

Posts with mentions or reviews of LOTICv2. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing keypoint_rcnn_training_pytorch and LOTICv2 you can also consider the following projects:

awesome-hand-pose-estimation - Awesome work on hand pose estimation/tracking

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

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

AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

gluon-cv - Gluon CV Toolkit

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x