Merge pull request #103 from jqueguiner/jqueguiner-add-api

[API][Docker][Image] add api support for image colorization

Dockerfile-api

@@ -0,0 +1,42 @@
+From nvcr.io/nvidia/pytorch:19.04-py3
+
+RUN apt-get -y update
+
+RUN apt-get install -y python3-pip software-properties-common wget
+
+RUN add-apt-repository ppa:git-core/ppa
+
+RUN apt-get -y update
+
+RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash
+
+RUN apt-get install -y git-lfs --allow-unauthenticated
+
+RUN git lfs install
+
+ENV GIT_WORK_TREE=/data
+
+RUN mkdir -p /root/.torch/models
+
+RUN mkdir -p /data/models
+
+RUN wget -O /root/.torch/models/vgg16_bn-6c64b313.pth https://download.pytorch.org/models/vgg16_bn-6c64b313.pth
+
+RUN wget -O /root/.torch/models/resnet34-333f7ec4.pth https://download.pytorch.org/models/resnet34-333f7ec4.pth
+
+RUN wget -O /data/models/ColorizeArtistic_gen.pth https://www.dropbox.com/s/zkehq1uwahhbc2o/ColorizeArtistic_gen.pth?dl=0 
+
+ADD . /data/
+
+WORKDIR /data
+
+RUN pip install -r requirements.txt
+
+RUN pip install  Flask
+
+RUN cd /data/test_images && git lfs pull
+
+EXPOSE 5000
+
+#ENTRYPOINT ["python3", "app.py"]
+

README.md

@@ -289,4 +289,3 @@ We suspect some of you are going to want access to the original DeOldify model f
 ### Want More?
 
 I'll be posting more results on Twitter. [<img src="resource_images/Twitter_Social_Icon_Rounded_Square_Color.svg" width="28">](https://twitter.com/citnaj)
-

app.py

@@ -0,0 +1,55 @@
+# import the necessary packages
+import os
+import sys
+import requests
+import ssl
+from flask import Flask
+from flask import request
+from flask import jsonify
+from flask import send_file
+
+from uuid import uuid4
+
+from os import path
+import torch
+
+import fastai
+from fasterai.visualize import *
+from pathlib import Path
+
+
+torch.backends.cudnn.benchmark=True
+
+colorizer = get_image_colorizer(artistic=True)
+
+os.environ['CUDA_VISIBLE_DEVICES']='0'
+
+app = Flask(__name__)
+
+# define a predict function as an endpoint
+@app.route("/process", methods=["POST"])
+def process():
+    source_url = request.json["source_url"]
+    render_factor = int(request.json["render_factor"])
+
+    upload_directory = 'upload'
+    if not os.path.exists(upload_directory):
+           os.mkdir(upload_directory)
+
+    random_filename = str(uuid4()) + '.png'
+
+    colorizer.plot_transformed_image_from_url(url=source_url, path=os.path.join(upload_directory, random_filename), figsize=(20,20),
+            render_factor=render_factor, display_render_factor=True, compare=False)
+
+    callback = send_file(os.path.join("result_images", random_filename), mimetype='image/jpeg')
+
+    os.remove(os.path.join("result_images", random_filename))
+    os.remove(os.path.join("upload", random_filename))
+
+    return callback
+
+
+if __name__ == '__main__':
+    port = 5000
+    host = '0.0.0.0'
+    app.run(host=host, port=port, threaded=True)