RIFE

RIFE is a real-time video frame interpolation model based on deep learning, capable of efficiently predicting intermediate frames to increase video frame rates. It is widely used in video smoothness enhancement and animation production.

Manually download the model and upload it to raspberrypi5, or pull the model repository using the following command.

Tip

If git lfs is not installed, please refer to git lfs installation guide for installation.

git clone https://huggingface.co/AXERA-TECH/RIFE.axera

File Description:

m5stack@raspberrypi:~/rsp/RIFE.axera $ ls -lh
total 52K
-rw-rw-r-- 1 m5stack m5stack 1.1K Sep 29 14:28 build_config.json
-rw-rw-r-- 1 m5stack m5stack    0 Sep 29 14:28 config.json
drwxrwxr-x 2 m5stack m5stack 4.0K Sep 29 14:28 model
-rw-rw-r-- 1 m5stack m5stack 6.9K Sep 29 14:28 ms_ssim.py
-rw-rw-r-- 1 m5stack m5stack 1.8K Sep 29 14:28 README.md
-rw-rw-r-- 1 m5stack m5stack   88 Sep 29 14:28 requirements.txt
-rw-rw-r-- 1 m5stack m5stack 9.2K Sep 29 14:28 run_axmodel.py
-rw-rw-r-- 1 m5stack m5stack 9.2K Sep 29 14:28 run_onnx.py
drwxrwxr-x 2 m5stack m5stack 4.0K Sep 29 14:28 video

Create a virtual environment

python -m venv rife

Activate the virtual environment

source rife/bin/activate

Install dependencies

pip install https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3.rc2/axengine-0.1.3-py3-none-any.whl
pip install -r requirements.txt

python3 run_axmodel.py --model ./model/rife_x2_720p.axmodel --video ./video/demo.mp4

Run result:

(rife) m5stack@raspberrypi:~/rsp/RIFE.axera $ python3 run_axmodel.py --model ./model/rife_x2_720p.axmodel --video ./video/demo.mp4
[INFO] Available providers:  ['AXCLRTExecutionProvider']
[INFO] Using provider: AXCLRTExecutionProvider
[INFO] SOC Name: AX650N
[INFO] VNPU type: VNPUType.DISABLED
[INFO] Compiler version: 4.2 77cdc0c2
./video/demo.mp4, 128.0 frames in total, 25.0FPS to 50.0FPS
The audio will be merged after interpolation process
 99%|██████████████████████████████████████▋| 127/128.0 [02:45<00:01,  1.30s/it] 

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