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Runtime error
Runtime error
Commit
•
dbe148f
1
Parent(s):
e11a2b4
feat: update new file
Browse files- .gitattributes +1 -0
- .gitignore +163 -0
- app.py +59 -0
- best_300.pt +0 -0
- predict.py +31 -0
- requirements.txt +6 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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best_300.pt filter=lfs diff=lfs merge=lfs -text
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.gitignore
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@@ -0,0 +1,163 @@
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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+
eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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+
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# Installer logs
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pip-log.txt
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+
pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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.idea/
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pCard3
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playing_card
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app.py
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@@ -0,0 +1,59 @@
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import gradio as gr
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import io
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from PIL import Image
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from flask import Flask, request
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from ultralytics import YOLO
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app = Flask(__name__)
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model = YOLO('best_300.pt')
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@app.route("/", methods=["POST", "GET"])
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def hello():
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return {
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"hello": "2"
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}
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@app.route("/detect", methods=["POST"])
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def predict():
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if not request.method == "POST":
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return
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if request.files.get("image"):
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image_file = request.files["image"]
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image_bytes = image_file.read()
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conf = float(request.form.get("conf") or 0.45)
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if conf > 1 or conf < 0:
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conf = 0.5
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img = Image.open(io.BytesIO(image_bytes))
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results = model.predict(source=img, conf=conf)
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_boxes = []
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for result in results:
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r = result.numpy()
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names = r.names
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boxes = r.boxes
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for box in boxes:
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b = box.xywh[0].tolist() # get box coordinates in (top, left, bottom, right) format
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c = int(box.cls[0])
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cf = float(box.conf[0])
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n = names[c]
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_boxes.append({
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"label": c,
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'name': n,
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'probability': cf,
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'bounding': b
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})
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results_json = {
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"boxes": _boxes,
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"total": len(_boxes)
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}
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return results_json
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# ngrok_tunnel = ngrok.connect(8000)
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# print('Public URL:', ngrok_tunnel.public_url)
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# nest_asyncio.apply()
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app.run(host="0.0.0.0", port=8000)
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best_300.pt
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File without changes
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predict.py
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import json
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from ultralytics import YOLO
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# Load a model
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model = YOLO('best_300.pt') # load an official model
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# model = YOLO('path/to/best_300.pt') # load a custom model
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# Predict with the model
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# results = model.predict(source='pCard3', save=True, save_txt=True,project="playing_card",name="predict")
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_boxes = []
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results = model.predict(source='pCard3/1.jpg', save=True, save_txt=True, project="playing_card", name="predict")
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# results = model('https://cdn.britannica.com/23/194523-050-E6C02DBE/selection-American-playing-cards-jack-queen-ace.jpg')
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for result in results:
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r = result.numpy()
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names = r.names
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boxes = r.boxes
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for box in boxes:
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b = box.xywh[0].tolist() # get box coordinates in (top, left, bottom, right) format
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c = int(box.cls[0])
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cf = float(box.conf[0])
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n = names[c]
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_boxes.append({
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"label": c,
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'name': n,
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'probability': cf,
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'bounding': b
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})
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j = json.dumps(_boxes)
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print(_boxes)
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requirements.txt
ADDED
@@ -0,0 +1,6 @@
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urllib3==1.26.15
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ultralytics
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flask
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Pillow
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image
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gradio
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