rafellerc/Pytorch-SiamFC
Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"
This project helps computer vision engineers develop and train AI models for real-time object tracking in videos. You provide video datasets with labeled objects, and it produces a trained model that can quickly locate a specific object across frames. It's ideal for those working on tasks like autonomous navigation, surveillance, or sports analytics.
634 stars. No commits in the last 6 months.
Use this if you need to train a model to accurately track a specific object's position as it moves within a video sequence.
Not ideal if you are looking for a pre-trained, off-the-shelf object tracking solution without needing to train custom models or if your primary goal is object detection rather than continuous tracking.
Stars
634
Forks
144
Language
Python
License
—
Category
Last pushed
Oct 27, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/rafellerc/Pytorch-SiamFC"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related frameworks
DeepTrackAI/DeepTrack2
DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data...
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using...
NVIDIA-ISAAC-ROS/isaac_ros_dnn_inference
NVIDIA-accelerated DNN model inference ROS 2 packages using NVIDIA Triton/TensorRT for both...
DagnyT/hardnet
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor...
imatge-upc/detection-2016-nipsws
Hierarchical Object Detection with Deep Reinforcement Learning