yolo-v4-tf.keras
A simple tf.keras implementation of YOLO v4 (by taipingeric)
ONNX-YOLOv7-Object-Detection
Python scripts performing object detection using the YOLOv7 model in ONNX. (by ibaiGorordo)
| yolo-v4-tf.keras | ONNX-YOLOv7-Object-Detection | |
|---|---|---|
| 1 | 2 | |
| 139 | 182 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | about 1 year ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
yolo-v4-tf.keras
Posts with mentions or reviews of yolo-v4-tf.keras.
We have used some of these posts to build our list of alternatives
and similar projects.
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Image classification using yolo
Example : https://github.com/taipingeric/yolo-v4-tf.keras
ONNX-YOLOv7-Object-Detection
Posts with mentions or reviews of ONNX-YOLOv7-Object-Detection.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-18.
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[D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
Finally, I tried to look if someone has done similar work for the ONNX model and I found this repo which links the same repo I am trying to use, and I believe this function is doing exactly what I want to do, but I could not understand what it is doing (I don't understand how it knows exactly where the number of detections is, and where the bounding boxes are and the class labels, etc.) furthermore, I am not sure if removing end2end and the changing the version from 12 to 9 has any effect on the output shape or it has to do with the internal layers.
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YOLOv7 object detection in Ruby in 10 minutes
git clone https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection.git cd ONNX-YOLOv7-Object-Detection pip install -r requirements.txt
What are some alternatives?
When comparing yolo-v4-tf.keras and ONNX-YOLOv7-Object-Detection you can also consider the following projects:
yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator