def up2():
##data=request.form['img']
get_json =request.json
trg=json.loads(get_json)
data=trg['img']
#data = '''R0lGODlhDwAPAKECAAAAzMzM/////wAAACwAAAAADwAPAAACIISPeQHsrZ5ModrLlN48CXF8m2iQ3YmmKqVlRtW4MLwWACH+H09wdGltaXplZCBieSBVbGVhZCBTbWFydFNhdmVyIQAAOw=='''
#imgをオープンする
im = Image.open(BytesIO(base64.b64decode(data)))
#pngをJPGに
if im.mode != "RGB":
im = im.convert("RGB")
#リサイズする
size=(256,256)
im = im.resize(size, Image.ANTIALIAS)
#保存。存在すれば上書きされる
#リネーム
path="tmp/"+uuid.uuid4().hex
im.save(path+".jpg")
#分類する
#result=inspection.inspect(path+".jpg")
result=inspection.inspect(im)
#DBに保存
saveImageDB(data,result[0][2],result[0][1],version)
#DBから文章を取り出す
description=loadDescription(result[0][2],version)
description={
0:description[0],
1:description[1],
}
#画像をスケッチ風にする
sketchized=sket.sketchize(path)
#結果listをjsonにして端末に返す
result={0:{'name':result[0][0],'p':result[0][1], 'class':result[0][2]},
1:{'name':result[1][0],'p':result[1][1]},
2:{'name':result[2][0],'p':result[2][1]},
3:description,
4:sketchized,
}
return jsonify(result)
def tool_run():
print("Inspection running...")
settings = read_settings()
settings_names = []
settings_values = []
for i in range(len(settings)):
settings_names.append(settings[i][0])
for j in range(1, len(settings[i])):
settings_values.append(settings[i][j])
for i in range(len(settings_values)):
settings_values[i] = int(settings_values[i])
global x, y, w, h, images
acceptance, x,y,w,h, filepath_inspected, images = \
myModule.inspect(filepath, settings_values, 3, 12)
if images == 0:
status.config(text="Try loading file again")
else:
status.config(text=" Main defect size: " + str(w) + " x " + str(h) +
" / Coordinates: (" + str(x) + ";" + str(y) + ")" +
" / Acceptance: " + str(acceptance))
load_image(filepath_inspected)
button_display_process.config(state=NORMAL)
def img_newest(img_dir):
# Return the path to the most recent image in the img_dir directory
img_lst = [os.path.join(img_dir, f) for f in os.listdir(img_dir)]
img_lst = list(filter(os.path.isfile, img_lst))
img_lst.sort(key=os.path.getctime, reverse=True)
cleanup(img_lst)
img_newest = img_lst[0]
return img_newest
def cleanup(img_lst, ct_max=100, ct_min=50):
# Delete older images to free up memory.
# Parameters:
# img_lst: Paths to all images in the directory
# ct_max, ct_min: min and max number of images allowed in directory
if len(img_lst) > ct_max:
for image in img_lst[ct_min:]:
os.remove(image)
inspected = ''
# Inspect newly uploaded images in img_dir directory.
while True:
img = img_newest(img_dir)
if img != inspected:
inspection.inspect(img)
inspected = img
def classify():
#画像分類結果を返す
return inspection.inspect(g_path)