PeekingDuck
gluon-cv
| PeekingDuck | gluon-cv | |
|---|---|---|
| 5 | 1 | |
| 158 | 5,751 | |
| 0.6% | 0.9% | |
| 0.0 | 1.8 | |
| 10 months ago | over 1 year ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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PeekingDuck
gluon-cv
-
FOSS self-hosted image-to-text gpu accelerated object recognition ? Is there anything on the table yet ?
https://github.com/amusi/awesome-object-detection https://mmdetection.readthedocs.io/en/latest/index.html https://github.com/thtrieu/darkflow https://github.com/OlafenwaMoses/ImageAI https://github.com/dmlc/gluon-cv https://github.com/aim-uofa/AdelaiDet/ https://github.com/aim-uofa/AdelaiDet/blob/master/configs/FCOS-Detection/README.md https://github.com/wizyoung/YOLOv3_TensorFlow
What are some alternatives?
tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3
Video-Dataset-Loading-Pytorch - Generic PyTorch dataset implementation to load and augment VIDEOS for deep learning training loops.
ailia-models - The collection of pre-trained, state-of-the-art AI models for ailia SDK
photo2cartoon - 人像卡通化探索项目 (photo-to-cartoon translation project)
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
darkflow - Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
VolleyVision - Applying Deep Learning Approaches to Volleyball Data
AI-basketball-analysis - :basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
hagrid - HAnd Gesture Recognition Image Dataset
Nodz - Nodz : Visualize your data - Free nodes based graph generator.
AgML - AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.