yolov4-deepsort
tensorflow-yolov4-tflite
Our great sponsors
yolov4-deepsort | tensorflow-yolov4-tflite | |
---|---|---|
5 | 1 | |
1,282 | 59 | |
- | - | |
0.0 | 5.4 | |
13 days ago | over 3 years ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
yolov4-deepsort
-
Trying to count hikers/day in a video stream
I have a video stream of a hiking trail and am trying to count the number of hikers per day. The camera never moves. At night you can also see headlamps :). Direction not as important as just a count of bodies passing through the image in a given time period. https://drive.google.com/file/d/1BwLzyHhrLafyAj5kYn-AfDVBtBBVQCsO/view. I've tried https://github.com/theAIGuysCode/yolov4-deepsort on the stream but it isn't picking up the people, maybe they're too low res for TF Object Detection?
-
How do I train the DeepSORT tracker for a custom class?
I am trying to track objects in a sequence of images in order to count them. I was looking around for robust trackers since in my case, the camera moves with respect to the object. I found the DeepSORT tracker online and it seems like the solution to my problem. However, I am not sure of how I could train it for my own custom classes. I am currently looking at this repository and it seems to almost do the things I want, except for the counting part. Can anyone explain to me how I can train the DeepSORT tracker for my own classes? I am already training a YOLOv4 model on these custom classes. As a result, I have collected a labelled dataset for the training and validation purposes, and if I have to use images for the training.
-
Help needed with object tracker implementation
I have tried to implement the YOLOv4 + DeepSort tracking from the AI Guys code presented here, just to get an idea of how to go about this, but from what I understand, I will need to train the DeepSORT tracker for detecting my own classes. I do not know how to do that.
-
Will Object Detection models trained on images work on videos too?
You can try a detection and tracking paradigm for videos - it would be a lot more accurate than detection only without the need re-detect every frame which spends a lot of compute. E.g.: https://github.com/theAIGuysCode/yolov4-deepsort
-
Installing tensorflow with gpu makes me want to blow my brains out
And totally unecessary!! Next day, I discovered a GitHub project that simply used conda, as below.
tensorflow-yolov4-tflite
-
Run YOLOv3 and YOLOv4 pre-trained models with OpenCV. You can get a speed boost if OpenCV is built with CUDA support. Otherwise, it will run on CPU.
This GitHub repo contains the comparison. https://github.com/haroonshakeel/tensorflow-yolov4-tflite#fps-comparison
What are some alternatives?
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
multi-object-tracker - Multi-object trackers in Python
remote - Moved to https://github.com/labmlai/labml/tree/master/remote
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
pyenv-installer - This tool is used to install `pyenv` and friends.
tensorrt_demos - TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet
zero-shot-object-tracking - Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.
tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite