def remote_result_produce():
composition = request.files.get('composition')
sketch_1024 = request.files.get('sketch_1024')
points = request.json['points']
result = result_produce(sketch_1024=sketch_1024, points=points, composition=composition)
cv2.imwrite('result.jpg', result)
return static_file('result.jpg', root='.')
def remote_composition_determine():
baby = request.files.get('baby')
sketch_256 = request.files.get('sketch_256')
sketch_1024 = request.files.get('sketch_1024')
points = request.json['points']
composition = composition_determine(sketch_256=sketch_256, baby=baby)
result = result_produce(sketch_1024=sketch_1024, points=points, composition=composition)
cv2.imwrite('result.jpg', result)
return static_file('result.jpg', root='.')
def remote_sketch_norm():
sketch = request.files.get('sketch')
sketch.save('sketch_norm.jpg')
sketch = cv2.imread('sketch_norm.jpg')
points = points_ping
sketch_1024, sketch_256, sketch_128 = sketch_norm(sketch=sketch)
baby = baby_determine(sketch_128=sketch_128, points=points)
composition = composition_determine(sketch_256=sketch_256, baby=baby)
result = result_produce(sketch_1024=sketch_1024, points=points, composition=composition)
cv2.imwrite('result.jpg', result)
return static_file('result.jpg', root='.')
def remote_string_to_sketch():
data = request.json
image = data['image']
points = data['points']
sketch = string_to_sketch(image=image, points=points)
sketch = sketch_blurry(sketch=sketch)
std = judge_improve(sketch=sketch)
if std:
sketch = continue_improve(sketch=sketch)
sketch = go_gray(sketch=sketch)
sketch_1024, sketch_256, sketch_128 = sketch_norm(sketch=sketch)
baby = baby_determine(sketch_128=sketch_128, points=points)
composition = composition_determine(sketch_256=sketch_256, baby=baby)
result = result_produce(sketch_1024=sketch_1024, points=points, composition=composition)
cv2.imwrite('result.jpg', result)
return static_file('result.jpg', root='.')
def remote_baby_determine():
sketch_128 = request.files.get('sketch_128')
sketch_256 = request.files.get('sketch_256')
sketch_1024 = request.files.get('sketch_1024')
sketch_128.save('sketch_128.jpg')
sketch_256.save('sketch_256.jpg')
sketch_1024.save('sketch_1024.jpg')
sketch_128 = cv2.imread('sketch_128.jpg')
sketch_256 = cv2.imread('sketch_256.jpg')
sketch_1024 = cv2.imread('sketch_1024.jpg')
points = points_ping
baby = baby_determine(sketch_128=sketch_128, points=points)
composition = composition_determine(sketch_256=sketch_256, baby=baby)
result = result_produce(sketch_1024=sketch_1024, points=points, composition=composition)
cv2.imwrite('result.jpg', result)
return static_file('result.jpg', root='.')
time_sign = time.time()
sketch = continue_improve(sketch=sketch)
process_time = time.time() - time_sign
print('图片再次进行模糊去噪操作时间：' + str(process_time))
time_sign = time.time()
sketch = go_gray(sketch=sketch)
process_time = time.time() - time_sign
print('图片进行灰度化处理：' + str(process_time))
time_sign = time.time()
sketch_1024, sketch_256, sketch_128 = sketch_norm(sketch=sketch)
process_time = time.time() - time_sign
print('图片进行归一化处理时间：' + str(process_time))
time_sign = time.time()
baby = baby_determine(sketch_128=sketch_128, points=points)
process_time = time.time() - time_sign
print('baby模型训练生成时间：' + str(process_time))
time_sign = time.time()
composition = composition_determine(sketch_256=sketch_256, baby=baby)
process_time = time.time() - time_sign
print('composition模型训练生成时间：' + str(process_time))
time_sign = time.time()
result = result_produce(sketch_1024=sketch_1024,
points=points,
composition=composition)
process_time = time.time() - time_sign
print('上色图片生成时间：' + str(process_time))