Csv file that contains image data referenced by the column depth. The rest of columns (200) represent image pixel values from 0 to 255 at each depth. The challenge consists on the following requirements:
· The image size is relatively big. Hence, there is a need to resize the image width to 150 instead of 200.
· The resized image has to be stored in a database.
· An API is required to request image frames based on depth_min and depth_max.
· Apply a custom color map to the generated frames.
· The solution should be based on Python.
cp .env.sample .env
make run
Open url - http://127.0.0.1:8000/docs and use swagger documentation.
make upload_csv
If you want to upload file with different name, you can add file to the script folder, build image with make build command and run command like this
docker exec depth_images_backend python scripts/parse_csv.py --file_path "/home/app/scripts/{your_file_name}.csv"
ps. don't forget to change your_file_name
make test