def it_can_show_its_thumbnail(self, tmpdir):
tmp_path_ = tmpdir.mkdir("myslide")
image = PILImageMock.DIMS_500X500_RGBA_COLOR_155_249_240
image.save(os.path.join(tmp_path_, "mywsi.png"), "PNG")
slide_path = os.path.join(tmp_path_, "mywsi.png")
slide = Slide(slide_path, "processed")
slide.save_thumbnail()
assert ImageShow.show(PIL.Image.open(slide.thumbnail_path))
def handle_image_PIL(self, data, mime):
if mime not in ('image/png', 'image/jpeg'):
return False
try:
from PIL import Image, ImageShow
except ImportError:
return False
raw = base64.decodestring(data[mime].encode('ascii'))
img = Image.open(BytesIO(raw))
return ImageShow.show(img)
def handle_image_PIL(self, data, mime):
if mime not in ('image/png', 'image/jpeg'):
return False
try:
from PIL import Image, ImageShow
except ImportError:
return False
raw = base64.decodestring(data[mime].encode('ascii'))
img = Image.open(BytesIO(raw))
return ImageShow.show(img)
def test_show(self):
class TestViewer:
methodCalled = False
def show(self, image, title=None, **options):
self.methodCalled = True
return True
viewer = TestViewer()
ImageShow.register(viewer, -1)
im = hopper()
self.assertTrue(ImageShow.show(im))
self.assertTrue(viewer.methodCalled)
def test_show(self):
class TestViewer:
methodCalled = False
def show(self, image, title=None, **options):
self.methodCalled = True
return True
viewer = TestViewer()
ImageShow.register(viewer, -1)
im = hopper()
self.assertTrue(ImageShow.show(im))
self.assertTrue(viewer.methodCalled)
def test_viewer_show(order):
class TestViewer(ImageShow.Viewer):
def show_image(self, image, **options):
self.methodCalled = True
return True
viewer = TestViewer()
ImageShow.register(viewer, order)
for mode in ("1", "I;16", "LA", "RGB", "RGBA"):
viewer.methodCalled = False
with hopper(mode) as im:
assert ImageShow.show(im)
assert viewer.methodCalled
# Restore original state
ImageShow._viewers.pop(0)
def test_show(self):
class TestViewer(ImageShow.Viewer):
methodCalled = False
def show_image(self, image, **options):
self.methodCalled = True
return True
viewer = TestViewer()
ImageShow.register(viewer, -1)
for mode in ("1", "I;16", "LA", "RGB", "RGBA"):
im = hopper(mode)
self.assertTrue(ImageShow.show(im))
self.assertTrue(viewer.methodCalled)
# Restore original state
ImageShow._viewers.pop(0)
def showImage(self):
from PIL import Image, ImageShow
with Image.open(
r"C:\Users\cryos\Documents\Screenshot 2020-12-04 195747.jpg"
) as imag:
ImageShow.show(imag)
def test_show():
for mode in ("1", "I;16", "LA", "RGB", "RGBA"):
im = hopper(mode)
assert ImageShow.show(im)
import pydirectinput as pdi import pyautogui import time from getBoundingBox import getBoundingBox import cv2 import numpy from PIL import Image, ImageShow #first get the bounding box topLeft = getBoundingBox() img = pyautogui.screenshot(region=(topLeft[0], topLeft[1], 640, 400)) processedImage = numpy.asarray(img) print(processedImage.ndim) print(processedImage.shape) print(processedImage.size) print(processedImage[0, 0, :]) #PIL.ImageShow.show(img) newIm = Image.fromarray(processedImage) ImageShow.show(newIm)
def create_words_data_5on5_with_spaces(rel_in_path, rel_out_path, map_size,
format, images_num):
dir_in = './' + rel_in_path
dir_out = './' + rel_out_path
output_format = format
os.makedirs(dir_out, exist_ok=True)
env = lmdb.open(dir_out, map_size=map_size)
cache = {}
cnt = 1
dir_in_path = pathlib.Path(dir_in)
chr_dirs = os.listdir(dir_in_path)
idx_to_chr_path = defaultdict(def_value)
aleph = ord('א')
for chr_dir in chr_dirs:
# print(chr(int(chr_dir) + aleph))
chr_dir_path = dir_in + chr_dir
cur_chr_path = pathlib.Path(chr_dir_path)
chr_files = os.listdir(cur_chr_path)
for chr_file in chr_files:
cur_chr_img_path = chr_dir_path + '/' + chr_file
idx_to_chr_path[int(chr_dir)].append(cur_chr_img_path)
non_ending_letters = 'אבגדהוזחטיכלמנסעפצקרשת'
ending_letters = 'אבגדהוזחטיךלמןסעףץקרשת'
low_letters = 'נקךןת'
bg = './bg.jpg'
bg = Image.open(bg)
bg = np.asarray(bg)
words_count = 0
total_copies = []
total_bytes = 0
images_count = 0
while images_count < images_num:
one_or_two = np.random.randint(0, 10)
if one_or_two == 3:
word_len = np.random.randint(11, 20)
else:
word_len = np.random.randint(1, 11)
is_lower = np.zeros(word_len)
images = []
length_upper = 0
length_lower = 0
width = 0
label = ''
# letters generations separetly
for i in range(word_len - 1):
letter = np.random.randint(22)
if non_ending_letters[letter] in low_letters:
is_lower[word_len - 1 - i] = 1
letter_idx = ord(non_ending_letters[letter]) - ord('א')
label += chr(letter_idx + ord('א'))
letter_imgs = idx_to_chr_path[letter_idx]
amount = len(letter_imgs)
img_num = np.random.randint(amount - 1)
letter_img_path = letter_imgs[img_num]
cur_chr_img = Image.open(letter_img_path)
cur_chr_img = np.asarray(cur_chr_img)
cur_length, cur_width, channels = cur_chr_img.shape
if channels == 4: # remove the alpha channel
cur_chr_img = cur_chr_img[:, :, :-1]
width += cur_width
images.append(cur_chr_img)
if non_ending_letters[letter] in low_letters:
length_lower = max(length_lower, cur_length)
else:
length_upper = max(length_upper, cur_length)
# last letter in ending letters
letter = np.random.randint(22)
if ending_letters[letter] in low_letters:
is_lower[0] = 1
letter_idx = ord(ending_letters[letter]) - ord('א')
label += chr(letter_idx + ord('א'))
letter_imgs = idx_to_chr_path[letter_idx]
amount = len(letter_imgs)
img_num = np.random.randint(amount - 1)
letter_img_path = letter_imgs[img_num]
cur_chr_img = Image.open(letter_img_path)
cur_chr_img = np.asarray(cur_chr_img)
cur_length, cur_width, channels = cur_chr_img.shape
if channels == 4: # remove the alpha channel
cur_chr_img = cur_chr_img[:, :, :-1]
width += cur_width
images.append(cur_chr_img)
if non_ending_letters[letter] in low_letters:
length_lower = max(length_lower, cur_length)
else:
length_upper = max(length_upper, cur_length)
if length_upper > length_lower:
total_length = ceil(length_upper + length_lower / 2)
else:
total_length = ceil(length_lower + length_upper / 2)
# word generation from letters
# print(label)
# background_img = Image.fromarray(background)
# ImageShow.show(background_img)
# print()
# save image in lmdb
# _, format = chr_file.split('.')
# if output_format == 'same':
# output_format = format
# word writing to lmdb in compressed form with bytesIO - reduces total size
words_count += 1
# place diversity images generation
row_shift = 3
col_shift = 3
_, width_step, _ = list(reversed(images))[0].shape
copies = 0
for cls in range(col_shift + 1):
for rws in range(row_shift + 1):
for c in range(0, cls + 1):
for r in range(0, rws + 1):
width_start_idx = 0
background = np.copy(bg[0:total_length,
0:width * 2, :])
for i, (letter_img, is_low) in enumerate(
zip(reversed(images), is_lower)):
cur_len, cur_width, _ = letter_img.shape
if not is_low:
start_idx = length_upper - cur_len
else:
start_idx = total_length - cur_len
col_end_idx = width_start_idx + cur_width
background[start_idx:(start_idx + cur_len),
width_start_idx:(
col_end_idx), :] = letter_img
cur_space_width = cur_width / 10
cur_space = int(
np.random.randint(-2, 4) * cur_space_width)
if i < word_len - 1:
width_start_idx += cur_width + cur_space
else:
width_start_idx += cur_width
background = background[:,
0:width_start_idx, :]
cur_word_img = background
word_l, word_w, _ = background.shape
background = np.copy(
bg[0:word_l + word_l * cls,
0:word_w + width_step * rws, :])
background[c * word_l:(c + 1) * word_l,
r * width_step:word_w +
r * width_step, :] = cur_word_img
background_img = Image.fromarray(background)
ImageShow.show(background_img)
copies += 1
imageKey = 'image-%09d'.encode() % cnt
labelKey = 'label-%09d'.encode() % cnt
total_bytes += len(imageKey) + len(labelKey)
background = Image.fromarray(background)
with io.BytesIO() as output:
background.save(output, format=output_format)
imageBin = output.getvalue()
total_bytes += len(imageBin) + len(label.encode())
cache[imageKey] = imageBin
cache[labelKey] = label.encode()
if cnt % 1000 == 0:
env.set_mapsize(int(total_bytes * 1.12))
writeCache(env, cache)
cache = {}
print('Written %d' % cnt)
cnt += 1
images_count += copies
total_copies.append(copies)
if len(cache) != 0:
env.set_mapsize(int(total_bytes * 1.09))
writeCache(env, cache)
cache = {}
print('Written %d' % (cnt - 1))
nSamples = cnt - 1
cache['num-samples'.encode()] = str(nSamples).encode()
writeCache(env, cache)
print(
'Created dataset with %d samples of size %d bytes with %d words and %d copies in average'
%
(nSamples, total_bytes, words_count, np.asarray(total_copies).mean()))
def it_can_show_its_thumbnail(self, tmpdir):
slide, _ = base_test_slide(tmpdir,
PILIMG.RGBA_COLOR_500X500_155_249_240)
assert ImageShow.show(slide.thumbnail)
def addDataToTable(table, headers, data):
table.setRowCount(0)
table.setColumnCount(0)
for i in range(len(headers)):
table.insertColumn(i)
table.setHorizontalHeaderLabels(headers)
j = 0
for row in data:
table.insertRow(j)
i = 0
for x in row:
table.setItem(j, i, QTableWidgetItem(x))
i += 1
j += 1
if __name__ == "__main__":
from PIL import ImageShow
data = {
"First Name": "Monish",
"Last Name": "Sudhagar",
"Gender": "Male",
"Date of Joining": "2020/11/01",
"Role": "Librarian"
}
ID = createQrId("c3f9d130-8524-4699-9b40-4e0f7d5bd4f5", data)
ImageShow.show(ID)
def _showxv(image, title=None, **options):
from PIL import ImageShow
ImageShow.show(image, title, **options)
def test_show(self):
for mode in ("1", "I;16", "LA", "RGB", "RGBA"):
im = hopper(mode)
self.assertTrue(ImageShow.show(im))
def Display(self):
return ImageShow.show(self.picture)
from PIL import ImageShow, Image
import pandas as pd
print("截止到2020/02/20 软件测试无误，由于学校登录系统有个登录状态码是加密的，所以可能随时失败，软件不兼容的联系班里最帅的那个帮忙导吧。。\n我已人品担保不会上传你的账号密码\n", "_"*30)
username = int(input("学号："))
password = str(input("密码："))
image_url = "http://jwgls.jmu.edu.cn/Common/CheckCode.aspx"
headers = {"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.100 Safari/537.36 Edg/80.0.361.53"}
s = requests.Session()
response = s.get(image_url, headers=headers)
with open(r"check.jpg", "wb") as f:
f.write(response.content)
try:
check_image = Image.open(r"check.jpg")
ImageShow.show(check_image, title="验证码")
except:
print("抱歉显示验证码失败，请直接退出")
code = input("验证码：")
# plt.show()
data = {
"__VIEWSTATE":"/wEPDwUKMTA4MDEzMTMyOQ9kFgICAw9kFgICDw8PFgIeBFRleHQFATBkZBgBBR5fX0NvbnRyb2xzUmVxdWlyZVBvc3RCYWNrS2V5X18WAgUNQnRuTG9naW5JbWFnZQUNQnRuUmVzZXRJbWFnZcH71Q3NhGesjfuvAIN4VJIH4TsM",
"TxtUserName": username,
"TxtPassword": password,
"TxtVerifCode": int(code),
"BtnLoginImage.x":33,
"BtnLoginImage.y":7
}
login_url = "http://jwgls.jmu.edu.cn/login.aspx"
# print(data)
response = s.post(login_url, headers=headers, data=data)
