(Image from https://github.com/berkgulay/weather-prediction-from-image)
- input image
(Extracted from the dataset above.)
- output image with weather class (one of "Cloudy", "Sunny", "Rainy", "Snowy", "Foggy") and probability annotated
Automatically downloads the onnx and prototxt files on the first run. It is necessary to be connected to the Internet while downloading.
For the sample image,
$ python3 weather-prediction-from-image.py
If you want to specify the input image, put the image path after the --input
option.
You can use --savepath
option to change the directory of the output file to be saved.
$ python3 weather-prediction-from-image.py --input IMAGE_PATH --savepath SAVE_IMAGE_PATH
By adding the --video
option, you can input the video and convert it by the style image.
If you pass 0
as an argument to VIDEO_PATH, you can use the webcam input instead of the video file.
$ python3 weather-prediction-from-image.py --video VIDEO_PATH
keras
ONNX opset = 11