adding the configuration to deploy yolov5 in in app engine

app_engine_config/Dockerfile

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+FROM gcr.io/google-appengine/python
+
+# Create a virtualenv for dependencies. This isolates these packages from
+# system-level packages.
+# Use -p python3 or -p python3.7 to select python version. Default is version 2.
+RUN virtualenv /env -p python3
+
+# Setting these environment variables are the same as running
+# source /env/bin/activate.
+ENV VIRTUAL_ENV /env
+ENV PATH /env/bin:$PATH
+
+RUN apt-get update && apt-get install -y python-opencv
+
+# Copy the application's requirements.txt and run pip to install all
+# dependencies into the virtualenv.
+ADD requirements.txt /app/requirements.txt
+RUN pip install -r /app/requirements.txt
+
+# Add the application source code.
+ADD . /app
+
+# Run a WSGI server to serve the application. gunicorn must be declared as
+# a dependency in requirements.txt.
+CMD gunicorn -b :$PORT main:app

app_engine_config/app.yaml

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+runtime: custom
+env: flex
+
+service: yolov5app
+
+liveness_check:
+  initial_delay_sec: 600
+
+manual_scaling:
+  instances: 1
+resources:
+  cpu: 1
+  memory_gb: 4
+  disk_size_gb: 20

app_engine_config/requirements.txt

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+pip==18.1
+Flask==1.0.2
+pandas==0.23.4
+xlrd==1.2.0
+gunicorn==19.9.0
+Cython==0.29.21
+numpy==1.17.0
+opencv-python==4.3.0.38
+torch==1.5.1
+matplotlib==3.2.2
+pillow
+tensorboard
+PyYAML>=5.3
+torchvision==0.6.1
+scipy==1.5.1
+tqdm