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https://github.com/mshr-h/opencv-dockerfile-for-arm32v7
OpenCV wheel build dockerfile for PYNQ-Z1 and ARM32v7 devices
https://github.com/mshr-h/opencv-dockerfile-for-arm32v7
armv7 dockerfile opencv-python pynq-z1
Last synced: about 2 months ago
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OpenCV wheel build dockerfile for PYNQ-Z1 and ARM32v7 devices
- Host: GitHub
- URL: https://github.com/mshr-h/opencv-dockerfile-for-arm32v7
- Owner: mshr-h
- License: mit
- Created: 2021-05-05T02:09:20.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-05-22T01:20:54.000Z (over 3 years ago)
- Last Synced: 2024-10-28T10:52:56.922Z (3 months ago)
- Topics: armv7, dockerfile, opencv-python, pynq-z1
- Homepage:
- Size: 2.93 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Build OpenCV Python wheel package for ARM32v7
This repository provides [OpenCV on Wheels](https://github.com/opencv/opencv-python) build dockerfile for PYNQ-Z1 and other ARM32v7 devices.
## Build instruction
1. Install DockerCE on your machine by following the instruction
- [https://docs.docker.com/install/](https://docs.docker.com/install/)
2. Clone this repository
```bash
git clone https://github.com/mshr-h/opencv-dockerfile-for-arm32v7
cd opencv-dockerfile-for-arm32v7
```
3. Modify Python version to your device environment in `Dockerfile.arm32v7`
```dockerfile
ENV PYTHON_VERSION 3.9.5 # -> change it for your environment
```
4. Run docker build
```bash
docker build -t opencv-arm32v7 -f Dockerfile.arm32v7 .
```
5. Note the fullpath of the `.whl` files
```bash
docker create -it --name cv_temp opencv-arm32v7 bash
docker start cv_temp
docker exec -it cv_temp ls /code/opencv-python
```
The output looks like the below.
Note the name of the wheel files. (`opencv_contrib_python-4.5.2+aa26990-cp39-cp39-linux_armv7l.whl` and `numpy-1.20.2-cp39-cp39-linux_armv7l.whl`)
```
CONTRIBUTING.md find_version.py pyproject.toml
LICENSE-3RD-PARTY.txt multibuild setup.py
LICENSE.txt numpy-1.20.2-cp39-cp39-linux_armv7l.whl tests
MANIFEST.in opencv travis_config.sh
README.md opencv_contrib travis_multibuild_customize.sh
appveyor.yml opencv_contrib_python-4.5.2+aa26990-cp39-cp39-linux_armv7l.whl travis_osx_brew_cache.sh
cv2 patch_auditwheel_whitelist.py
docker patches
```
6. Copy the wheel files from the docker image
```bash
docker cp cv_temp:/code/opencv-python/opencv_contrib_python-4.5.2+aa26990-cp39-cp39-linux_armv7l.whl .
docker cp cv_temp:/code/opencv-python/numpy-1.20.2-cp39-cp39-linux_armv7l.whl .
docker rm -fv cv_temp
```
7. Copy the wheel files (`opencv_contrib_python-4.5.2+aa26990-cp39-cp39-linux_armv7l.whl` and `numpy-1.20.2-cp39-cp39-linux_armv7l.whl`) to PYNQ-Z1 or other ARM32v7 device
8. Install the wheel files
```bash
sudo apt update
sudo apt install -y python3 python3-pip
pip3 install numpy-1.20.2-cp39-cp39-linux_armv7l.whl
pip3 install opencv_contrib_python-4.5.2+aa26990-cp39-cp39-linux_armv7l.whl
```