https://github.com/qengineering/hand-pose-ncnn-raspberry-pi-4
Fast hand pose estimation on a bare Raspberry Pi 4 at 7 FPS
https://github.com/qengineering/hand-pose-ncnn-raspberry-pi-4
cpp deep-learning finger-detection hand-pose hand-pose-estimation ncnn ncnn-model palm-detection raspberry-pi raspberry-pi-4 raspberry-pi-64-os
Last synced: 2 months ago
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Fast hand pose estimation on a bare Raspberry Pi 4 at 7 FPS
- Host: GitHub
- URL: https://github.com/qengineering/hand-pose-ncnn-raspberry-pi-4
- Owner: Qengineering
- License: bsd-3-clause
- Created: 2022-07-27T13:19:44.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-10T12:42:10.000Z (over 2 years ago)
- Last Synced: 2025-01-26T03:45:47.601Z (4 months ago)
- Topics: cpp, deep-learning, finger-detection, hand-pose, hand-pose-estimation, ncnn, ncnn-model, palm-detection, raspberry-pi, raspberry-pi-4, raspberry-pi-64-os
- Language: C++
- Homepage: https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html
- Size: 4.72 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Hand Pose on a Raspberry Pi
## Hand pose with the ncnn framework.
[](https://opensource.org/licenses/BSD-3-Clause)
Special made for a bare Raspberry Pi 4, see [Q-engineering deep learning examples](https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html)
------------
## Dependencies.
To run the application, you have to:
- A raspberry Pi 4 with a 32 or 64-bit operating system. It can be the Raspberry 64-bit OS, or Ubuntu 18.04 / 20.04. [Install 64-bit OS](https://qengineering.eu/install-raspberry-64-os.html)
- The Tencent ncnn framework installed. [Install ncnn](https://qengineering.eu/install-ncnn-on-raspberry-pi-4.html)
- OpenCV 64 bit installed. [Install OpenCV 4.5](https://qengineering.eu/install-opencv-4.5-on-raspberry-64-os.html)
- Code::Blocks installed. (```$ sudo apt-get install codeblocks```)
------------
## Installing the app.
To extract and run the network in Code::Blocks
$ mkdir *MyDir*
$ cd *MyDir*
$ wget https://github.com/Qengineering/Hand-Pose-ncnn-Raspberry-Pi-4/archive/refs/heads/main.zip
$ unzip -j master.zip
Remove master.zip, LICENSE and README.md as they are no longer needed.
$ rm master.zip
$ rm LICENSE
$ rm README.md
Your *MyDir* folder must now look like this:
hand.jpg
NanoDetHand.cpb
nanodet_hand.cpp
hand_lite-op.bin
hand_lite-op.param
handpose.bin
handpose.param
------------
## Running the app.
To run the application load the project file NanoDetHand.cbp in Code::Blocks.
Next, follow the instructions at [Hands-On](https://qengineering.eu/deep-learning-examples-on-raspberry-32-64-os.html#HandsOn).
------------
### Thanks.
https://github.com/Tencent/ncnn
https://github.com/nihui
https://github.com/FeiGeChuanShu
------------
[](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=CPZTM5BB3FCYL)