tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.3.1, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite (by haroonshakeel)
yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow. (by theAIGuysCode)
tensorflow-yolov4-tflite | yolov4-deepsort | |
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1 | 5 | |
59 | 1,287 | |
- | - | |
5.4 | 0.0 | |
over 3 years ago | 26 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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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.
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.
tensorflow-yolov4-tflite
Posts with mentions or reviews of tensorflow-yolov4-tflite.
We have used some of these posts to build our list of alternatives
and similar projects.
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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
yolov4-deepsort
Posts with mentions or reviews of yolov4-deepsort.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-13.
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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?
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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.
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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.
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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
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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.
What are some alternatives?
When comparing tensorflow-yolov4-tflite and yolov4-deepsort you can also consider the following projects:
yolor - implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.