def main():
filename = sys.argv[-1]
try:
im = Image.load(filename)
im.verify(
) #I perform also verify, don't know if he sees other types o defects
im.close() #reload is necessary in my case
im = Image.load(filename)
im.transpose(PIL.Image.FLIP_LEFT_RIGHT)
im.close()
except:
#manage excetions here
sys.exit(0)
f = imageio.imread(filename, as_gray=True)
try:
imageio.verify(f)
# do stuff
except IOError:
# filename not an image file
sys.exit(0)
def img_estim(img, thrshld):
is_light = np.mean(img) > thrshld
#print(np.mean(img))
#return 'light' if is_light else os.remove(filename)
if is_light == 0:
os.remove(filename)
img_estim(f, 40)
def main():
filename = sys.argv[-1]
try:
im = Image.load(filename)
im.verify() #Need to find defects
im.close() #reload is needes to continue
im = Image.load(filename)
#im.transpose(PIL.Image.FLIP_LEFT_RIGHT)
im.transpose(Image.FLIP_LEFT_RIGHT)
im.close()
except: #If Error -> Exit program
sys.exit(0)
f = imageio.imread(filename, as_gray=True)
try:
imageio.verify(f) # Verify more
except IOError:
# ERROR -> filename not an image file
sys.exit(0)
def img_estim(img, thrshld):
is_light = np.mean(img) > thrshld
#print(np.mean(img))
#return 'light' if is_light else os.remove(filename)
# if is_light == 0:
# os.remove(filename)
img_estim(f, 40)
print(img_estim(f, 40)) # if black is more that 255/100*40 (i think)
print("") #new line
def main():
#filename = "./test_files/Clouds_test.jpg"
filename = sys.argv[-1]
print(filename)
try:
im = Image.load(filename)
print("im loaded")
im.verify(
) #I perform also verify, don't know if he sees other types o defects
print("im verify")
im.close() #reload is necessary in my case
print("im close")
im = Image.load(filename)
print("load im again")
im.transpose(PIL.Image.FLIP_LEFT_RIGHT)
print("flip im")
im.close()
print("close im")
except:
#manage excetions here
print("File load Failed")
sys.exit(0)
f = imageio.imread(filename, as_gray=True)
try:
imageio.verify(f)
print("try verify file")
# do stuff
except IOError:
# filename not an image file
print("file is no image")
sys.exit(0)
def img_estim(img, thrshld):
is_light = np.mean(img) > thrshld
print(np.mean(img))
#return 'light' if is_light else os.remove(filename)
if is_light == 0:
# os.remove(filename)
print("Delete this file")
img_estim(f, 40)
print(img_estim(f, 40))