File size: 8,609 Bytes
be6c755
 
 
 
 
 
 
 
 
 
 
 
 
6cb9e37
be6c755
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ccce2f0
be6c755
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
30100e0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
import os
import io
import uuid
import sys
import yaml
import traceback

with open('./config.yaml', 'r') as fd:
    opts = yaml.safe_load(fd)

sys.path.insert(0, './white_box_cartoonizer/')

import cv2
from markupsafe import Markup
from flask import Flask, render_template, make_response, flash
import flask
from PIL import Image
import numpy as np
import skvideo.io
if opts['colab-mode']:
    from flask_ngrok import run_with_ngrok #to run the application on colab using ngrok


from cartoonize import WB_Cartoonize

if not opts['run_local']:
    if 'GOOGLE_APPLICATION_CREDENTIALS' in os.environ:
        from gcloud_utils import upload_blob, generate_signed_url, delete_blob, download_video
    else:
        raise Exception("GOOGLE_APPLICATION_CREDENTIALS not set in environment variables")
    from video_api import api_request
    # Algorithmia (GPU inference)
    import Algorithmia

app = Flask(__name__)
app.secret_key="imseldrith"
if opts['colab-mode']:
    run_with_ngrok(app)   #starts ngrok when the app is run

app.config['UPLOAD_FOLDER_VIDEOS'] = 'static/uploaded_videos'
app.config['CARTOONIZED_FOLDER'] = 'static/cartoonized_images'

app.config['OPTS'] = opts

## Init Cartoonizer and load its weights 
wb_cartoonizer = WB_Cartoonize(os.path.abspath("white_box_cartoonizer/saved_models/"), opts['gpu'])

def convert_bytes_to_image(img_bytes):
    """Convert bytes to numpy array

    Args:
        img_bytes (bytes): Image bytes read from flask.

    Returns:
        [numpy array]: Image numpy array
    """
    
    pil_image = Image.open(io.BytesIO(img_bytes))
    if pil_image.mode=="RGBA":
        image = Image.new("RGB", pil_image.size, (255,255,255))
        image.paste(pil_image, mask=pil_image.split()[3])
    else:
        image = pil_image.convert('RGB')
    
    image = np.array(image)
    
    return image

@app.route('/')
@app.route('/cartoonize', methods=["POST", "GET"])
def cartoonize():
    opts = app.config['OPTS']
    if flask.request.method == 'POST':
        try:
            if flask.request.files.get('image'):
                img = flask.request.files["image"].read()
                
                ## Read Image and convert to PIL (RGB) if RGBA convert appropriately
                image = convert_bytes_to_image(img)

                img_name = str(uuid.uuid4())
                
                cartoon_image = wb_cartoonizer.infer(image)
                
                cartoonized_img_name = os.path.join(app.config['CARTOONIZED_FOLDER'], img_name + ".jpg")
                cv2.imwrite(cartoonized_img_name, cv2.cvtColor(cartoon_image, cv2.COLOR_RGB2BGR))
                
                if not opts["run_local"]:
                    # Upload to bucket
                    output_uri = upload_blob("cartoonized_images", cartoonized_img_name, img_name + ".jpg", content_type='image/jpg')

                    # Delete locally stored cartoonized image
                    os.system("rm " + cartoonized_img_name)
                    cartoonized_img_name = generate_signed_url(output_uri)
                    

                return render_template("index_cartoonized.html", cartoonized_image=cartoonized_img_name)

            if flask.request.files.get('video'):
                
                filename = str(uuid.uuid4()) + ".mp4"
                video = flask.request.files["video"]
                original_video_path = os.path.join(app.config['UPLOAD_FOLDER_VIDEOS'], filename)
                video.save(original_video_path)
                
                modified_video_path = os.path.join(app.config['UPLOAD_FOLDER_VIDEOS'], filename.split(".")[0] + "_modified.mp4")
                
                ## Fetch Metadata and set frame rate
                file_metadata = skvideo.io.ffprobe(original_video_path)
                original_frame_rate = None
                if 'video' in file_metadata:
                    if '@r_frame_rate' in file_metadata['video']:
                        original_frame_rate = file_metadata['video']['@r_frame_rate']

                if opts['original_frame_rate']:
                    output_frame_rate = original_frame_rate
                else:
                    output_frame_rate = opts['output_frame_rate']    

                output_frame_rate_number = int(output_frame_rate.split('/')[0])

                #change the size if you want higher resolution :
                ############################
                # Recommnded width_resize  #
                ############################
                #width_resize = 1920 for 1080p: 1920x1080.
                #width_resize = 1280 for 720p: 1280x720.
                #width_resize = 854 for 480p: 854x480.
                #width_resize = 640 for 360p: 640x360.
                #width_resize = 426 for 240p: 426x240.
                width_resize=opts['resize-dim']

                # Slice, Resize and Convert Video as per settings
                if opts['trim-video']:
                    #change the variable value to change the time_limit of video (In Seconds)
                    time_limit = opts['trim-video-length']
                    if opts['original_resolution']:
                        os.system("ffmpeg -hide_banner -loglevel warning -ss 0 -i '{}' -t {} -filter:v scale=-1:-2 -r {} -c:a copy '{}'".format(os.path.abspath(original_video_path), time_limit, output_frame_rate_number, os.path.abspath(modified_video_path)))
                    else:
                        os.system("ffmpeg -hide_banner -loglevel warning -ss 0 -i '{}' -t {} -filter:v scale={}:-2 -r {} -c:a copy '{}'".format(os.path.abspath(original_video_path), time_limit, width_resize, output_frame_rate_number, os.path.abspath(modified_video_path)))
                else:
                    if opts['original_resolution']:
                       os.system("ffmpeg -hide_banner -loglevel warning -ss 0 -i '{}' -filter:v scale=-1:-2 -r {} -c:a copy '{}'".format(os.path.abspath(original_video_path), output_frame_rate_number, os.path.abspath(modified_video_path)))
                    else:
                        os.system("ffmpeg -hide_banner -loglevel warning -ss 0 -i '{}' -filter:v scale={}:-2 -r {} -c:a copy '{}'".format(os.path.abspath(original_video_path), width_resize, output_frame_rate_number, os.path.abspath(modified_video_path)))
                
                audio_file_path = os.path.join(app.config['UPLOAD_FOLDER_VIDEOS'], filename.split(".")[0] + "_audio_modified.mp4")
                os.system("ffmpeg -hide_banner -loglevel warning -i '{}' -map 0:1 -vn -acodec copy -strict -2  '{}'".format(os.path.abspath(modified_video_path), os.path.abspath(audio_file_path)))

                if opts["run_local"]:
                    cartoon_video_path = wb_cartoonizer.process_video(modified_video_path, output_frame_rate)
                else:
                    data_uri = upload_blob("processed_videos_cartoonize", modified_video_path, filename, content_type='video/mp4', algo_unique_key='cartoonizeinput')
                    response = api_request(data_uri)
                    # Delete the processed video from Cloud storage
                    delete_blob("processed_videos_cartoonize", filename)
                    cartoon_video_path = download_video('cartoonized_videos', os.path.basename(response['output_uri']), os.path.join(app.config['UPLOAD_FOLDER_VIDEOS'], filename.split(".")[0] + "_cartoon.mp4"))
                
                ## Add audio to the cartoonized video
                final_cartoon_video_path = os.path.join(app.config['UPLOAD_FOLDER_VIDEOS'], filename.split(".")[0] + "_cartoon_audio.mp4")
                os.system("ffmpeg -hide_banner -loglevel warning -i '{}' -i '{}' -codec copy -shortest '{}'".format(os.path.abspath(cartoon_video_path), os.path.abspath(audio_file_path), os.path.abspath(final_cartoon_video_path)))

                # Delete the videos from local disk
                os.system("rm {} {} {} {}".format(original_video_path, modified_video_path, audio_file_path, cartoon_video_path))

                return render_template("index_cartoonized.html", cartoonized_video=final_cartoon_video_path)
        
        except Exception:
            print(traceback.print_exc())
            flash("Our server hiccuped :/ Please upload another file! :)")
            return render_template("index_cartoonized.html")
    else:
        return render_template("index_cartoonized.html")

if __name__ == "__main__":
    # Commemnt the below line to run the Appication on Google Colab using ngrok
    if opts['colab-mode']:
        app.run()
    else:
        app.run(debug=True, host='0.0.0.0', port=7860)