Tensorflow Yolo Ios
Real time object detection demo App with Yolo on iOS based on tensorflow framework
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Frigate | 13,106 | 3 months ago | 347 | mit | Python | |||||
| NVR with realtime local object detection for IP cameras | ||||||||||
| Darkflow | 6,131 | 6 months ago | 644 | gpl-3.0 | Python | |||||
| Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices | ||||||||||
| Tenginekit | 1,993 | 3 years ago | 14 | other | C++ | |||||
| TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile. | ||||||||||
| Deep_sort_yolov3 | 1,528 | 3 years ago | 99 | gpl-3.0 | Python | |||||
| Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow | ||||||||||
| Yolov3_tensorflow | 1,392 | 3 years ago | 115 | mit | Python | |||||
| Complete YOLO v3 TensorFlow implementation. Support training on your own dataset. | ||||||||||
| Tensorflow Yolo | 792 | 6 years ago | 46 | Python | ||||||
| tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test) | ||||||||||
| Mocapnet | 738 | 5 months ago | 16 | other | C++ | |||||
| We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance | ||||||||||
| Tf_trt_models | 679 | 3 years ago | 55 | bsd-3-clause | Python | |||||
| TensorFlow models accelerated with NVIDIA TensorRT | ||||||||||
| Tracking With Darkflow | 522 | 5 years ago | n,ull | gpl-3.0 | Python | |||||
| Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow | ||||||||||
| Multinet | 449 | 5 years ago | 31 | mit | Python | |||||
| Real-time Joint Semantic Reasoning for Autonomous Driving | ||||||||||
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