FastMOT
yolov4-custom-functions
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| FastMOT | yolov4-custom-functions | |
|---|---|---|
| 2 | 3 | |
| 1,095 | 587 | |
| - | - | |
| 0.0 | 0.0 | |
| about 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FastMOT
- Does Multi Object Tracking work better (precision/recall) on videos than jury rigging a SOTA image object detection to work on videos?
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Assign ID and track moving object with optical flow
On failure, you can try using a re-identification methods like FastReid: https://github.com/JDAI-CV/fast-reid in combination with your detector. A good pipeline that combines everything you seem to need is here: https://github.com/GeekAlexis/FastMOT. It uses a combination of Yolov4 (detector) + Kalman filters, Optical flow (tracker) and FastReid (re-identification)
yolov4-custom-functions
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How can i count Enter and Exit in Yolov Object Detection?
Object detection and counting project: https://github.com/theAIGuysCode/yolov4-custom-functions
- Contagem de motocicletas no evento do Bozo em SP. Total: 6253.
- Contagem em tempo real das motos durante a motocada promovida pelo presidente Bolsonaro (contagem final: 6253)
What are some alternatives?
multi-object-tracker - Multi-object trackers in Python
tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Swin-Transformer-Tensorflow - Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
fast-reid - SOTA Re-identification Methods and Toolbox
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
TFJS-object-detection - Real-time custom object detection in the browser using tensorflow.js
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
mousehunter-edge - Cat with prey detection on Raspberry Pi. Lock cat pet flap if prey is detected. Object detection implemented in TFLite with ImageNet v1 SSD. Inference on EdgeTPU (Google Coral USB). Stores images on AWS S3 and sends notifications to iOS device.