Generate new image based on rock_paper_scissors [dataset|https://www.tensorflow.org/datasets/catalog/rock_paper_scissors]
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Install torch, torchvision, matplotlib
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pip install -r requirements.txt
uvicorn main:app --reload --port 8001
Each request which conforms graphQL conventions generate 24 new images on the project directory and return its path.
curl 'http://127.0.0.1:8001/graphql' \
-H 'Connection: keep-alive' \
-H 'sec-ch-ua: " Not A;Brand";v="99", "Chromium";v="96", "Google Chrome";v="96"' \
-H 'Accept: application/json' \
-H 'Content-Type: application/json' \
-H 'sec-ch-ua-mobile: ?0' \
-H 'User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36' \
-H 'sec-ch-ua-platform: "Linux"' \
-H 'Origin: http://127.0.0.1:8001' \
-H 'Sec-Fetch-Site: same-origin' \
-H 'Sec-Fetch-Mode: cors' \
-H 'Sec-Fetch-Dest: empty' \
-H 'Referer: http://127.0.0.1:8001/graphql' \
-H 'Accept-Language: en-US,en;q=0.9,fa-IR;q=0.8,fa;q=0.7' \
--data-raw '{"query":"# Welcome to GraphiQL\n#\n# GraphiQL is an in-browser tool for writing, validating, and\n# testing GraphQL queries.\n#\n# Type queries into this side of the screen, and you will see intelligent\n# typeaheads aware of the current GraphQL type schema and live syntax and\n# validation errors highlighted within the text.\n#\n# GraphQL queries typically start with a \"{\" character. Lines that starts\n# with a # are ignored.\n#\n# An example GraphQL query might look like:\n#\n# {\n# field(arg: \"value\") {\n# subField\n# }\n# }\n#\n# Keyboard shortcuts:\n#\n# Prettify Query: Shift-Ctrl-P (or press the prettify button above)\n#\n# Merge Query: Shift-Ctrl-M (or press the merge button above)\n#\n# Run Query: Ctrl-Enter (or press the play button above)\n#\n# Auto Complete: Ctrl-Space (or just start typing)\n#\nmutation\n{\n generateClassPhoto(imageCls: {classNumber:1}){\n path\n }\n}","variables":null}' \
--compressed
