def j2xConvert(jsonFilePath: str):
with open(jsonFilePath, 'r', encoding='utf-8') as f:
jsonObj = json.load(f)
if isinstance(jsonObj, str):
jsonObj = json.loads(jsonObj)
tmpPath = jsonFilePath.replace('.json', '.xml')
aimPath = tmpPath
folder = os.path.abspath(jsonFilePath)
filename = jsonObj['imagePath']
path = tmpPath
width = jsonObj['imageWidth']
height = jsonObj['imageHeight']
objs = []
shapes = jsonObj['shapes']
# print(type(shapes))
for shape in shapes:
label = shape['label']
points = shape['points']
# print(type(points))
tmp = np.array(points)
# print(tmp)
obj = dict()
obj['name'] = label
obj['difficult'] = 0
bndbox = dict()
bndbox['xmin'] = np.min(tmp[:, 0]) if np.min(
tmp[:, 0]
) > 0 else 1 # https://github.com/AlexeyAB/darknet the bounding box cannot be 0
bndbox['xmax'] = np.max(tmp[:, 0])
bndbox['ymin'] = np.min(tmp[:, 1]) if np.min(tmp[:, 1]) > 0 else 1
bndbox['ymax'] = np.max(tmp[:, 1])
obj['bndbox'] = bndbox
if bndbox['ymax'] - bndbox['ymin'] < 10 or bndbox['xmax'] - bndbox[
'xmin'] < 10:
pass
else:
objs.append(obj)
img2xml_multiobj(tmpPath, aimPath, folder, filename, path, width, height,
objs)
# print(objs)
logger.info('Done! See {}'.format(tmpPath))
def getMultiObjs_voc(oriImgPath, labelPath, savePath):
# pass
labelImg = io.imread(labelPath)
# print(labelImg.shape)
(_, fileName) = os.path.split(labelPath)
# print(fileName)
# fileName = labelPath.split(os.sep)[-1]
imgShape = labelImg.shape
imgHeight = imgShape[0]
imgWidth = imgShape[1]
imgPath = oriImgPath
logger.warning("auto detecting class numbers")
if len(imgShape) == 3:
labelImg = labelImg[:, :, 0]
labelImg[labelImg > 0] = 255
_, labels, stats, centroids = cv2.connectedComponentsWithStats(
labelImg.astype(np.uint8))
statsShape = stats.shape
objs = []
for i in range(1, statsShape[0]):
st = stats[i, :]
width = st[2]
height = st[3]
xmin = st[0]
ymin = st[1]
xmax = xmin + width
ymax = ymin + height
ob = {}
ob['name'] = 'class{}'.format(i)
ob['difficult'] = 0
# ob['name'] = 'weld'
bndbox = {}
bndbox['xmin'] = xmin
bndbox['ymin'] = ymin
bndbox['xmax'] = xmax
bndbox['ymax'] = ymax
ob['bndbox'] = bndbox
objs.append(ob)
saveXmlPath = savePath + os.sep + fileName[:-4] + '.xml'
img2xml_multiobj(saveXmlPath, saveXmlPath, "TEST", fileName, imgPath,
imgWidth, imgHeight, objs)
def writeXml(imgname, objlist, savepath, folder, oriImgPath=''):
# imgname = lines[start].split('/')[-1]
xmlname = imgname.replace('.jpg', '.xml').replace('\n', '')
tmpPath = savepath + xmlname
path = imgname
if oriImgPath == '':
# logger.warning('Origin image needed!')
width = 0
height = 0
else:
oriImg = io.imread(oriImgPath + os.sep + imgname)
width = oriImg.shape[1]
height = oriImg.shape[0]
del oriImg
objs = []
# objlist = lines[start + 2:end]
for ob in objlist:
# print(ob)
if len(ob) > 20:
tmp = ob.split(' ')
xmin = tmp[0]
ymin = tmp[1]
w = tmp[2]
h = tmp[3]
xmax = int(xmin) + int(w)
ymax = int(ymin) + int(h)
occlusion = int(tmp[-2])
blur = int(tmp[4])
if blur > 0:
name = 'blur'
elif occlusion > 0:
name = 'occlusion'
else:
name = 'face'
obj = dict()
obj['name'] = name
obj['diffcult'] = 0
bndbox = dict()
bndbox['xmin'] = xmin
bndbox['ymin'] = ymin
bndbox['xmax'] = xmax
bndbox['ymax'] = ymax
obj['bndbox'] = bndbox
objs.append(obj)
img2xml_multiobj(tmpPath, tmpPath, folder, imgname, path, width, height,
objs)
def getMultiObjs_voc_withYaml(oriImgPath, labelPath, yamlPath=''):
if os.path.exists(yamlPath):
f = open(yamlPath, encoding='utf-8')
y = yaml.load(f, Loader=yaml.FullLoader)
f.close()
label_masks = y['label_names']
else:
raise FileNotFoundError('yaml file not found!')
# print(label_masks)
savePath = os.path.abspath(os.path.dirname(oriImgPath)) + os.sep + 'xml'
if not os.path.exists(savePath):
os.mkdir(savePath)
fileName = oriImgPath.split(os.sep)[-1]
saveXmlPath = savePath + os.sep + fileName[:-4] + '.xml'
labelImg = io.imread(labelPath) if isinstance(labelPath,
str) else labelPath
fileName = oriImgPath.split(os.sep)[-1]
imgShape = labelImg.shape
imgHeight = imgShape[0]
imgWidth = imgShape[1]
imgPath = oriImgPath
objs = []
for k, v in label_masks.items():
# print(k)
# print(v)
ma = copy.deepcopy(labelImg)
ma[ma != int(v)] = 0
if np.sum(ma) > 0:
# print(v)
ma1 = copy.deepcopy(labelImg)
ma1[ma1 != int(v)] = 0
ma1[ma1 != 0] = 255
_, labels, stats, centroids = cv2.connectedComponentsWithStats(ma1)
del ma1
statsShape = stats.shape
for i in range(1, statsShape[0]):
st = stats[i, :]
width = st[2]
height = st[3]
xmin = st[0]
ymin = st[1]
# print('area = {}'.format(st[4]))
# print('width = {},height = {}'.format(width,height))
xmax = xmin + width
ymax = ymin + height
ob = {}
ob['name'] = k
ob['difficult'] = 0
bndbox = {}
bndbox['xmin'] = xmin
bndbox['ymin'] = ymin
bndbox['xmax'] = xmax
bndbox['ymax'] = ymax
ob['bndbox'] = bndbox
if width > 10 and height > 10 and st[4] >= 0.75 * (width *
height):
objs.append(ob)
# print(ob)
del ma
# print(objs)
# print("............................")
img2xml_multiobj(saveXmlPath, saveXmlPath, "TEST", fileName, imgPath,
imgWidth, imgHeight, objs)
objs.clear()
def mosiacScript_no_reshape(imgs: list, xmls: list, savePath: str, flag=False):
heightFactor = random.uniform(0.1, 0.5)
widthFactor = random.uniform(0.1, 0.5)
img1, img2, img3, img4 = imgs[0], imgs[1], imgs[2], imgs[3]
if not type(imgs) is list or not type(xmls) is list:
logger.error('Input must be list!')
return
imgname = getName(xmls)
# imgname = 'test1123'
folder = savePath
mosiacImg, res, _, _ = mosiac_img_no_reshape(imgs, heightFactor,
widthFactor)
front = res[0]
# print(front)
# print(heightFactor_,widthFactor_)
heightFactor = min(heightFactor, 1 - heightFactor)
widthFactor = min(widthFactor, 1 - widthFactor)
# print(heightFactor, widthFactor)
tree1 = ET.parse(xmls[0])
tree2 = resizeScript(img2,
xmls[1],
heightFactor=img1.shape[0] / img2.shape[0],
widthFactor=img1.shape[1] / img2.shape[1],
flag=False)
tree3 = resizeScript(img3,
xmls[2],
heightFactor=img1.shape[0] / img3.shape[0],
widthFactor=img1.shape[1] / img3.shape[1],
flag=False)
tree4 = resizeScript(img4,
xmls[3],
heightFactor=img1.shape[0] / img4.shape[0],
widthFactor=img1.shape[1] / img4.shape[1],
flag=False)
root1 = tree1.getroot()
root2 = tree2.getroot()
for box in root2.iter('bndbox'):
xmin = float(box.find('xmin').text)
ymin = float(box.find('ymin').text)
xmax = float(box.find('xmax').text)
ymax = float(box.find('ymax').text)
box.find('xmin').text = str(
int(xmin + widthFactor * mosiacImg.shape[1]))
box.find('xmax').text = str(
int(xmax + widthFactor * mosiacImg.shape[1]))
root3 = tree3.getroot()
for box in root3.iter('bndbox'):
xmin = float(box.find('xmin').text)
ymin = float(box.find('ymin').text)
xmax = float(box.find('xmax').text)
ymax = float(box.find('ymax').text)
box.find('ymin').text = str(
int(ymin + heightFactor * mosiacImg.shape[0]))
box.find('ymax').text = str(
int(ymax + heightFactor * mosiacImg.shape[0]))
root4 = tree4.getroot()
for box in root4.iter('bndbox'):
xmin = float(box.find('xmin').text)
ymin = float(box.find('ymin').text)
xmax = float(box.find('xmax').text)
ymax = float(box.find('ymax').text)
box.find('xmin').text = str(
int(xmin + widthFactor * mosiacImg.shape[1]))
box.find('xmax').text = str(
int(xmax + widthFactor * mosiacImg.shape[1]))
box.find('ymin').text = str(
int(ymin + heightFactor * mosiacImg.shape[0]))
box.find('ymax').text = str(
int(ymax + heightFactor * mosiacImg.shape[0]))
boxes = []
r1, r2, r3, r4 = getBoxes(front,
root1,
root2,
root3,
root4,
mosiacImg.shape,
heightFactor=heightFactor,
widthFactor=widthFactor)
for box in r1.iter('object'):
# print(box)
boxes.append(box)
for box in r2.iter('object'):
# print(box)
boxes.append(box)
for box in r3.iter('object'):
# print(box)
boxes.append(box)
for box in r4.iter('object'):
# print(box)
boxes.append(box)
# print(len(boxes))
imgshape = mosiacImg.shape
objs = []
for o in boxes:
obj = dict()
name = o.find('name').text
difficult = 0
xmlbox = o.find('bndbox')
b = (float(xmlbox.find('xmin').text), float(xmlbox.find('xmax').text),
float(xmlbox.find('ymin').text), float(xmlbox.find('ymax').text))
tmp = dict()
tmp['xmin'] = str(int(b[0]))
tmp['ymin'] = str(int(b[2]))
tmp['xmax'] = str(int(b[1]))
tmp['ymax'] = str(int(b[3]))
# print(tmp)
if not (int(tmp['xmin']) == 0 and int(tmp['xmax']) == 0
and int(tmp['ymin']) == 0 and int(tmp['ymax']) == 0):
obj['name'] = name
obj['difficult'] = difficult
obj['bndbox'] = tmp
objs.append(obj)
del tmp
# print(len(objs))
tmpPath = savePath + os.sep + imgname + '.xml'
filepath = tmpPath.replace('.xml', '.jpg')
filename = imgname + '.jpg'
img2xml_multiobj(tmpPath, tmpPath, folder, filename, filepath, imgshape[1],
imgshape[0], objs)
logger.info('Saved to {}.'.format(tmpPath))
if flag:
skimage.io.imsave(filepath, mosiacImg)
def mosiacScript(imgs: list, xmls: list, savePath: str, flag=False):
heightFactor = random.uniform(0.3, 0.7)
widthFactor = random.uniform(0.3, 0.7)
if not type(imgs) is list or not type(xmls) is list:
logger.error('Input must be list!')
return
# imgs
if len(imgs) == 0:
logger.error('None image found!')
return
if len(imgs) == 1:
for _ in range(0, 3):
imgs.append(imgs[0])
if len(imgs) == 2:
for _ in range(0, 2):
imgs.append(imgs[0])
if len(imgs) == 3:
for _ in range(0, 1):
imgs.append(imgs[0])
# xmls
if len(xmls) == 0:
logger.error('None xml found!')
return
if len(xmls) == 1:
for _ in range(0, 3):
xmls.append(xmls[0])
if len(xmls) == 2:
for _ in range(0, 2):
xmls.append(xmls[0])
if len(xmls) == 3:
for _ in range(0, 1):
xmls.append(xmls[0])
imgname = getName(xmls)
folder = savePath
mHeight, mWidth = getMeanSize(imgs)
mosiacImg = mosiac_img(imgs, heightFactor, widthFactor)
objs = []
imgshape = mosiacImg.shape
for idx in range(len(xmls)):
in_file = open(xmls[idx])
tree = ET.parse(in_file)
root = tree.getroot()
for o in root.iter('object'):
obj = dict()
name = o.find('name').text
difficult = 0
xmlbox = o.find('bndbox')
b = (float(xmlbox.find('xmin').text),
float(xmlbox.find('xmax').text),
float(xmlbox.find('ymin').text),
float(xmlbox.find('ymax').text))
# print('===========================')
# print(b)
bb = x2yVert((mWidth, mHeight), b)
x, y, w, h = bb[0], bb[1], bb[2], bb[3]
if idx == 0:
bbox = y2xVert(
(imgshape[1] * widthFactor, imgshape[0] * heightFactor), x,
y, w, h)
elif idx == 1:
bbox = y2xVert((imgshape[1] *
(1 - widthFactor), imgshape[0] * heightFactor),
x, y, w, h)
bbox[0] = bbox[0] + int(widthFactor * imgshape[1])
bbox[1] = bbox[1] + int(widthFactor * imgshape[1])
elif idx == 2:
bbox = y2xVert((imgshape[1] * widthFactor, imgshape[0] *
(1 - heightFactor)), x, y, w, h)
bbox[2] = bbox[2] + int(heightFactor * imgshape[0])
bbox[3] = bbox[3] + int(heightFactor * imgshape[0])
else:
bbox = y2xVert((imgshape[1] * (1 - widthFactor), imgshape[0] *
(1 - heightFactor)), x, y, w, h)
bbox[0] = bbox[0] + int(widthFactor * imgshape[1])
bbox[2] = bbox[2] + int(heightFactor * imgshape[0])
bbox[1] = bbox[1] + int(widthFactor * imgshape[1])
bbox[3] = bbox[3] + int(heightFactor * imgshape[0])
# print(x, y, w, h)
# w = w
# h = h
# bbox = y2xVert((imgshape[1],imgshape[0]), x, y, w, h)
tmp = dict()
tmp['xmin'] = str(int(bbox[0]))
tmp['ymin'] = str(int(bbox[2]))
tmp['xmax'] = str(int(bbox[1]))
tmp['ymax'] = str(int(bbox[3]))
obj['name'] = name
obj['difficult'] = difficult
obj['bndbox'] = tmp
del tmp
objs.append(obj)
tmpPath = savePath + os.sep + imgname + '.xml'
filepath = tmpPath.replace('.xml', '.jpg')
filename = imgname + '.jpg'
img2xml_multiobj(tmpPath, tmpPath, folder, filename, filepath, imgshape[1],
imgshape[0], objs)
logger.info('Saved to {}.'.format(tmpPath))
if flag:
skimage.io.imsave(filepath, mosiacImg)
def y2xConvert(txtPath, imgPath, labelPath):
logger.info('only *.jpg supported right now!')
labels = readLabels(labelPath)
if not os.path.exists(txtPath):
raise FileNotFoundError('file not found')
else:
if os.path.isfile(txtPath):
# pass
parent_path = os.path.dirname(txtPath)
filename = os.path.split(imgPath)[1]
imgname = os.path.splitext(filename)[0]
logger.info('single file found')
image = io.imread(imgPath)
folder = os.path.dirname(imgPath)
imgShape = image.shape
objs = []
with open(txtPath, 'r', encoding='utf-8') as f:
contents = f.readlines()
if len(contents) > 0:
for c in contents:
obj = dict()
tmp = c.split(' ')
clas, x, y, w, h = int(
tmp[0]), tmp[1], tmp[2], tmp[3], tmp[4]
bbox = convert(imgShape, float(x), float(y), float(w),
float(h))
# print(bbox)
obj['name'] = labels[clas]
obj['difficult'] = 0
obj['bndbox'] = {
'xmin': bbox[0],
'ymin': bbox[2],
'xmax': bbox[1],
'ymax': bbox[3]
}
objs.append(obj)
tmpPath = parent_path + os.sep + '_xmls_' + os.sep + imgname + '.xml'
if not os.path.exists(parent_path + os.sep + '_xmls_'):
os.mkdir(parent_path + os.sep + '_xmls_')
img2xml_multiobj(tmpPath, tmpPath, folder, filename, imgPath,
imgShape[1], imgShape[0], objs)
logger.info('Done! See {} .'.format(tmpPath))
else:
logger.info('Multiple files found')
parent_path = os.path.dirname(txtPath)
if not os.path.exists(parent_path + os.sep + '_xmls_'):
os.mkdir(parent_path + os.sep + '_xmls_')
txts = glob.glob(txtPath + os.sep + "*.txt")
for i in tqdm(txts):
filename = os.path.split(i)[1]
imgname = os.path.splitext(filename)[0]
i_imgPath = imgPath + os.sep + imgname + '*.jpg'
if not os.path.exists(i_imgPath):
logger.error('image not found!')
return
image = io.imread(i_imgPath)
folder = imgPath
imgShape = image.shape
objs = []
with open(i, 'r', encoding='utf-8') as f:
contents = f.readlines()
if len(contents) > 0:
for c in contents:
obj = dict()
tmp = c.split(' ')
clas, x, y, w, h = int(
tmp[0]), tmp[1], tmp[2], tmp[3], tmp[4]
bbox = convert(imgShape, float(x), float(y), float(w),
float(h))
# print(bbox)
obj['name'] = labels[clas]
obj['difficult'] = 0
obj['bndbox'] = {
'xmin': bbox[0],
'ymin': bbox[2],
'xmax': bbox[1],
'ymax': bbox[3]
}
objs.append(obj)
tmpPath = parent_path + os.sep + '_xmls_' + os.sep + imgname + '.xml'
img2xml_multiobj(tmpPath, tmpPath, folder, filename, imgPath,
imgShape[1], imgShape[0], objs)
logger.info('Done! See {} .'.format(parent_path + os.sep +
'_xmls_'))
def convertWiderface(filepath: str, savepath='', mProcess=False):
"""Annotation of widerface is like
0--Parade/0_Parade_marchingband_1_849.jpg
1
449 330 122 149 0 0 0 0 0 0
The format of txt ground truth. \n
File name \n
Number of bounding box \n
x1, y1, w, h, blur, expression, illumination, invalid, occlusion, pose
which is not suitable for labelImg. Besides, convertion may take a really long time using single process.
"""
with open(filepath, 'r', encoding='utf-8') as f:
lines = f.readlines()
ids = list(index for (index, d) in enumerate(lines)
if d.endswith('.jpg\n'))
# print(len(ids))
if savepath == '':
savepath = BASE_DIR + os.sep + 'xmls_'
if not os.path.isdir(savepath):
os.mkdir(savepath)
folder = 'face'
name = 'face'
lastImg = lines[ids[-1]]
imgname = lastImg.split('/')[-1].replace('\n', '')
xmlname = imgname.replace('.jpg', '.xml')
tmpPath = savepath + xmlname
path = imgname
width = 0
height = 0
objs = []
objlist = lines[ids[-1] + 2:]
for ob in objlist:
if len(ob) > 20:
tmp = ob.split(' ')
xmin = tmp[0]
ymin = tmp[1]
w = tmp[2]
h = tmp[3]
xmax = int(xmin) + int(w)
ymax = int(ymin) + int(h)
obj = dict()
obj['name'] = name
obj['diffcult'] = 0
bndbox = dict()
bndbox['xmin'] = xmin
bndbox['ymin'] = ymin
bndbox['xmax'] = xmax
bndbox['ymax'] = ymax
obj['bndbox'] = bndbox
objs.append(obj)
img2xml_multiobj(tmpPath, tmpPath, folder, imgname, path, width, height,
objs)
if not mProcess:
for i in tqdm(range(len(ids) - 1)):
start = ids[i]
end = ids[i + 1]
imgname = lines[start].split('/')[-1]
xmlname = imgname.replace('.jpg', '.xml').replace('\n', '')
tmpPath = savepath + xmlname
path = imgname
width = 0 # for test
height = 0 # for test
objs = []
objlist = lines[start + 2:end]
for ob in objlist:
# print(ob)
if len(ob) > 20:
tmp = ob.split(' ')
xmin = tmp[0]
ymin = tmp[1]
w = tmp[2]
h = tmp[3]
xmax = int(xmin) + int(w)
ymax = int(ymin) + int(h)
obj = dict()
obj['name'] = name
obj['diffcult'] = 0
bndbox = dict()
bndbox['xmin'] = xmin
bndbox['ymin'] = ymin
bndbox['xmax'] = xmax
bndbox['ymax'] = ymax
obj['bndbox'] = bndbox
objs.append(obj)
img2xml_multiobj(tmpPath, tmpPath, folder, imgname, path, width,
height, objs)
logger.info('Done! See {}.'.format(savepath))
else:
pool = Pool(__CPUS__ - 1)
pool_list = []
for i in tqdm(range(len(ids) - 1)):
start = ids[i]
end = ids[i + 1]
imgname = lines[start].split('/')[-1]
objlist = lines[start + 2:end]
resultsPool = pool.apply_async(
writeXml, (imgname, objlist, savepath, folder, name))
pool_list.append(resultsPool)
for pr in tqdm(pool_list):
re_list = pr.get()
logger.info('Done! See {}.'.format(savepath))
def readTxt(filepath: str, savepath='', mProcess=False):
with open(filepath, 'r', encoding='utf-8') as f:
lines = f.readlines()
# test
# for (index, d) in enumerate(lines):
# print(str(index) + d)
ids = list(index for (index, d) in enumerate(lines)
if d.endswith('.jpg\n'))
# print(len(ids))
if savepath == '':
savepath = BASE_DIR + os.sep + 'xmls_'
if not os.path.isdir(savepath):
os.mkdir(savepath)
folder = 'face'
name = 'face'
lastImg = lines[ids[-1]]
imgname = lastImg.split('/')[-1].replace('\n', '')
xmlname = imgname.replace('.jpg', '.xml')
tmpPath = savepath + xmlname
path = imgname
width = 0
height = 0
objs = []
objlist = lines[ids[-1] + 2:]
for ob in objlist:
if len(ob) > 20:
tmp = ob.split(' ')
xmin = tmp[0]
ymin = tmp[1]
w = tmp[2]
h = tmp[3]
xmax = int(xmin) + int(w)
ymax = int(ymin) + int(h)
obj = dict()
obj['name'] = name
obj['diffcult'] = 0
bndbox = dict()
bndbox['xmin'] = xmin
bndbox['ymin'] = ymin
bndbox['xmax'] = xmax
bndbox['ymax'] = ymax
obj['bndbox'] = bndbox
objs.append(obj)
img2xml_multiobj(tmpPath, tmpPath, folder, imgname, path, width, height,
objs)
if not mProcess:
for i in tqdm(range(len(ids) - 1)):
start = ids[i]
end = ids[i + 1]
imgname = lines[start].split('/')[-1]
xmlname = imgname.replace('.jpg', '.xml').replace('\n', '')
tmpPath = savepath + xmlname
path = imgname
width = 0 # for test
height = 0 # for test
objs = []
objlist = lines[start + 2:end]
for ob in objlist:
# print(ob)
if len(ob) > 20:
tmp = ob.split(' ')
xmin = tmp[0]
ymin = tmp[1]
w = tmp[2]
h = tmp[3]
xmax = int(xmin) + int(w)
ymax = int(ymin) + int(h)
obj = dict()
obj['name'] = name
obj['diffcult'] = 0
bndbox = dict()
bndbox['xmin'] = xmin
bndbox['ymin'] = ymin
bndbox['xmax'] = xmax
bndbox['ymax'] = ymax
obj['bndbox'] = bndbox
objs.append(obj)
img2xml_multiobj(tmpPath, tmpPath, folder, imgname, path, width,
height, objs)
else:
pool = Pool(__CPUS__ - 1)
pool_list = []
for i in tqdm(range(len(ids) - 1)):
start = ids[i]
end = ids[i + 1]
imgname = lines[start].split('/')[-1]
objlist = lines[start + 2:end]
resultsPool = pool.apply_async(
writeXml, (imgname, objlist, savepath, folder, name))
pool_list.append(resultsPool)
for pr in tqdm(pool_list):
re_list = pr.get()
