ScaledYOLOv4 | Scaled-YOLOv4 : Scaling Cross Stage Partial Network | Computer Vision library

by WongKinYiu Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ScaledYOLOv4 Summary

ScaledYOLOv4 is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. ScaledYOLOv4 has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. However ScaledYOLOv4 build file is not available. You can download it from GitHub.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Support

Quality

Security

License

Reuse

Support

ScaledYOLOv4 has a medium active ecosystem.

It has 2000 star(s) with 572 fork(s). There are 43 watchers for this library.

It had no major release in the last 6 months.

There are 292 open issues and 101 have been closed. On average issues are closed in 60 days. There are 16 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ScaledYOLOv4 is current.

Quality

ScaledYOLOv4 has 0 bugs and 0 code smells.

Security

ScaledYOLOv4 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ScaledYOLOv4 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ScaledYOLOv4 is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

ScaledYOLOv4 releases are not available. You will need to build from source code and install.

ScaledYOLOv4 has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 3388 lines of code, 209 functions and 14 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed ScaledYOLOv4 and discovered the below as its top functions. This is intended to give you an instant insight into ScaledYOLOv4 implemented functionality, and help decide if they suit your requirements.

Train the model .
Detects the neural network .
calculate k mean anchors
r Non - Suppression Convolutional .
Creates a random perspective .
Load an item from the batch .
Return a list of predicted detections .
Plot images and targets .
Parse the model dictionary .
Compute the loss for a given model .

Get all kandi verified functions for this library.

ScaledYOLOv4 Key Features

No Key Features are available at this moment for ScaledYOLOv4.

ScaledYOLOv4 Examples and Code Snippets

Scaled YOLOv4,6.TensorRT加速

Python

Lines of Code : 81

License : No License

Copy

# download: https://github.com/opencv/opencv/archive/4.3.0.zip

# Install dependence
sudo apt-get install cmake git libgtk2.0-dev pkg-config  libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install libtbb2  libtbb-dev libjpeg-dev libpng-de

Start Scaled YOLOv4,现有模型测试,准备 COCO 数据集，转成 YOLO 格式

Python

Lines of Code : 57

License : No License

Copy

coco2017
├── annotations
│   ├── instances_train2017.json
│   └── instances_val2017.json
├── test2017
├── train2017
└── val2017

export COCO_DIR=~/datasets/coco2017
export OUTPUT_DIR=~/datasets/coco2017_yolov5

# train2017 训练集
# -

Start Scaled YOLOv4,自定义数据集训练,准备数据集

Python

Lines of Code : 29

License : No License

Copy

cat < subset.names
cat
dog
EOF

export COCO_DIR=~/datasets/coco2017
export OUTPUT_DIR=~/datasets/coco2017_yolov5_subset

python scripts/coco2yolov5.py \
--coco_img_dir $COCO_DIR/train2017/ \
--coco_ann_file $COCO_DIR/annotations/instances_train201

Community Discussions

Trending Discussions on ScaledYOLOv4

RuntimeError: CUDA out of memory

QUESTION

RuntimeError: CUDA out of memory

Asked 2021-Feb-18 at 10:20

I got this Error:

...

ANSWER

Answered 2021-Feb-17 at 15:40

I finally find it. The problem was, I was using the new CUDA 11.2. That's bad. I remove it. and install CUDA 10.2. That fix the problem.

Source https://stackoverflow.com/questions/66243852

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ScaledYOLOv4

You can download it from GitHub.
You can use ScaledYOLOv4 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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