mirror of
https://github.com/NanjingForestryUniversity/supermachine--tomato-passion_fruit.git
synced 2025-11-09 06:44:02 +00:00
242bb9a71b
fix:修复在20240627test4中的classifier.py的analyze_tomato函数中white_defect的函数忘记传递两个阈值量的错误；修复analyze_tomato函数中的叶片实例分割存在的问题，解决由于变量污染引起的分割错误；
26 lines
821 B
Docker
26 lines
821 B
Docker
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
|