Python cv2.FONT_HERSHEY_TRIPLEX Examples
The following are 11
code examples of cv2.FONT_HERSHEY_TRIPLEX().
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Example #1
| Source File: net_utils.py From One-Shot-Object-Detection with MIT License | 7 votes |
|
def vis_detections(im, class_name, dets, thresh=0.5):
"""Visual debugging of detections."""
for i in range(np.minimum(10, dets.shape[0])):
bbox = tuple(int(np.round(x)) for x in dets[i, :4])
score = dets[i, -1]
if score > 0.8:
cv2.rectangle(im, bbox[0:2], bbox[2:4], (0, 110, 255), 5)
text = '%.3f' % (score)
(text_width, text_height) = cv2.getTextSize(text, cv2.FONT_HERSHEY_TRIPLEX, fontScale=1.2, thickness=2)[0]
cv2.rectangle(im, (bbox[0], bbox[1] ), (bbox[0]+text_width, bbox[1] + text_height), (0, 255, 251), -1)
cv2.putText(im,text , (bbox[0], bbox[1]+text_height), cv2.FONT_HERSHEY_TRIPLEX, 1.2, (0, 0, 0), thickness=2)
return im
Example #2
| Source File: boxing.py From ICDAR-2019-SROIE with MIT License | 6 votes |
|
def draw():
f = open(box_path + 'jpglist.txt')
# read each image and its label
line = f.readline()
line_num =0
while line:
line_num=line_num+1
print('Image:', line_num)
name = line.strip('\n')
img = cv2.imread(image_path + name)
img_size = img.shape
img_size = img_size[0]*img_size[1]
# read each coordinate and draw box
f_txt = open(image_path + name.strip('.jpg') + '.txt')
#line_txt = f_txt.readline() # pass the first ROI information
line_txt = f_txt.readline()
while line_txt:
coor = line_txt.split(',')
x1 = int(coor[0].strip('\''))
y1 = int(coor[1].strip('\''))
x3 = int(coor[4].strip('\''))
y3 = int(coor[5].strip('\''))
text = coor[8].strip('\n').strip('\'')
text_show = text + '(' + str(x1) + ',' + str(y1) +')'
cv2.rectangle(img, (x1, y1), (x3, y3), (255, 0, 0), 1)
#cv2.putText(img, text_show, (x1, y1 - 1),
# cv2.FONT_HERSHEY_TRIPLEX, 0.35, (0, 0, 255), 1)
line_txt = f_txt.readline()
cv2.imwrite(box_path + name, img)
line = f.readline()
# img = cv2.imshow('image', img)
# cv2.waitKey(0)
Example #3
| Source File: calibrate.py From depthai with MIT License | 5 votes |
|
def show_failed_capture_frame(self):
width, height = int(self.width * self.output_scale_factor), int(self.height * self.output_scale_factor)
info_frame = np.zeros((height, width, 3), np.uint8)
print("py: Capture failed, unable to find chessboard! Fix position and press spacebar again")
def show(position, text):
cv2.putText(info_frame, text, position, cv2.FONT_HERSHEY_TRIPLEX, 0.7, (0, 255, 0))
show((50, int(height / 2 - 40)), "Capture failed, unable to find chessboard!")
show((60, int(height / 2 + 40)), "Fix position and press spacebar again")
# cv2.imshow("left", info_frame)
# cv2.imshow("right", info_frame)
cv2.imshow("left + right",info_frame)
cv2.waitKey(2000)
Example #4
| Source File: summary_utils.py From fc4 with MIT License | 5 votes |
|
def put_text_on_image(image, lines):
for i, line in enumerate(lines[::-1]):
text_width, text_height = cv2.getTextSize(line, cv2.FONT_HERSHEY_TRIPLEX,
0.4, 1)[0]
cv2.putText(image, line, (image.shape[1] - text_width,
image.shape[0] - 2 * i * text_height - 10),
cv2.FONT_HERSHEY_TRIPLEX, 0.4, [0, 0, 0])
Example #5
| Source File: visualization.py From mmskeleton with Apache License 2.0 | 5 votes |
|
def put_text(img, text, position, scale_factor=1):
t_w, t_h = cv2.getTextSize(text,
cv2.FONT_HERSHEY_TRIPLEX,
scale_factor,
thickness=1)[0]
H, W, _ = img.shape
position = (int(W * position[1] - t_w * 0.5),
int(H * position[0] - t_h * 0.5))
params = (position, cv2.FONT_HERSHEY_TRIPLEX, scale_factor, (255, 255,
255))
cv2.putText(img, text, *params)
Example #6
| Source File: visualization.py From st-gcn with BSD 2-Clause "Simplified" License | 5 votes |
|
def put_text(img, text, position, scale_factor=1):
t_w, t_h = cv2.getTextSize(
text, cv2.FONT_HERSHEY_TRIPLEX, scale_factor, thickness=1)[0]
H, W, _ = img.shape
position = (int(W * position[1] - t_w * 0.5), int(H * position[0] - t_h * 0.5))
params = (position, cv2.FONT_HERSHEY_TRIPLEX, scale_factor,
(255,255,255))
cv2.putText(img, text, *params)
Example #7
| Source File: visualizer.py From higan with MIT License | 5 votes |
|
def add_text_to_image(image,
text='',
position=None,
font=cv2.FONT_HERSHEY_TRIPLEX,
font_size=1.0,
line_type=cv2.LINE_8,
line_width=1,
color=(255, 255, 255)):
"""Overlays text on given image.
NOTE: The input image is assumed to be with `RGB` channel order.
Args:
image: The image to overlay text on.
text: Text content to overlay on the image. (default: '')
position: Target position (bottom-left corner) to add text. If not set,
center of the image will be used by default. (default: None)
font: Font of the text added. (default: cv2.FONT_HERSHEY_TRIPLEX)
font_size: Font size of the text added. (default: 1.0)
line_type: Line type used to depict the text. (default: cv2.LINE_8)
line_width: Line width used to depict the text. (default: 1)
color: Color of the text added in `RGB` channel order. (default:
(255, 255, 255))
Returns:
An image with target text overlayed on.
"""
if image is None or not text:
return image
cv2.putText(img=image,
text=text,
org=position,
fontFace=font,
fontScale=font_size,
color=color,
thickness=line_width,
lineType=line_type,
bottomLeftOrigin=False)
return image
Example #8
| Source File: utils.py From gender-age-classification with Mozilla Public License 2.0 | 5 votes |
|
def draw_boxes_v2(image, boxes, labels,listPrediction):
i=0
for box in boxes:
xmin = int((box.x - box.w/2) * image.shape[1])
xmax = int((box.x + box.w/2) * image.shape[1])
ymin = int((box.y - box.h/2) * image.shape[0])
ymax = int((box.y + box.h/2) * image.shape[0])
cv2.rectangle(image, (xmin,ymin), (xmax,ymax), (0,255,0), 3)
temp=array( listPrediction[i][3])
if temp[0]>temp[1]:
gender="Female"
else:
gender="Male"
(gender +' ' + str(listPrediction[i][1]) +' '+ str(listPrediction[i][0]))
a=int((xmin+xmax)/2)-10
cv2.putText(image,gender +' ' + str(listPrediction[i][1]),
(xmin, ymax+25),
fontFace=cv2.FONT_HERSHEY_TRIPLEX,
fontScale=1e-3 *3* image.shape[0],
color=(0, 255, 0))
i=i+1
cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
#del listPrediction
del gender
del box
return image
Example #9
| Source File: dataset_statistic.py From ICDAR-2019-SROIE with MIT License | 4 votes |
|
def draw():
f = open(box_path + 'jpglist.txt')
rect_scale_pack=[]
rect_ratio_pack=[]
# read each image and its label
line = f.readline()
line_num =0
while line:
line_num=line_num+1
print('Image:', line_num)
name = line.strip('\n')
img = cv2.imread(image_path + name)
img_size = img.shape
img_size = img_size[0]*img_size[1]
# read each coordinate and draw box
f_txt = open(image_path + name.strip('.jpg') + '.txt')
line_txt = f_txt.readline()
while line_txt:
coor = line_txt.split(',')
x1 = int(coor[0].strip('\''))
y1 = int(coor[1].strip('\''))
x3 = int(coor[4].strip('\''))
y3 = int(coor[5].strip('\''))
text = coor[8].strip('\n').strip('\'')
rect_size = (x3-x1)*(y3-y1)
rect_scale = np.sqrt(rect_size / img_size)
rect_scale_pack.append(rect_scale)
#print(rect_scale_pack)
rect_ratio = (x3-x1)/(y3-y1)
rect_ratio_pack.append(rect_ratio)
#cv2.rectangle(img, (x1, y1), (x3, y3), (255, 0, 0), 1)
#cv2.putText(img, text, (x1, y1 - 1),
#cv2.FONT_HERSHEY_TRIPLEX, 0.35, (0, 0, 255), 1)
line_txt = f_txt.readline()
#cv2.imwrite(box_path + name, img)
line = f.readline()
# img = cv2.imshow('image', img)
# cv2.waitKey(0)
return rect_scale_pack,rect_ratio_pack
Example #10
| Source File: CreateGest.py From Emojinator with MIT License | 4 votes |
|
def main(g_id):
total_pics = 1200
cap = cv2.VideoCapture(0)
x, y, w, h = 300, 50, 350, 350
create_folder("gestures/" + str(g_id))
pic_no = 0
flag_start_capturing = False
frames = 0
while True:
ret, frame = cap.read()
frame = cv2.flip(frame, 1)
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
mask2 = cv2.inRange(hsv, np.array([2, 50, 60]), np.array([25, 150, 255]))
res = cv2.bitwise_and(frame, frame, mask=mask2)
gray = cv2.cvtColor(res, cv2.COLOR_BGR2GRAY)
median = cv2.GaussianBlur(gray, (5, 5), 0)
kernel_square = np.ones((5, 5), np.uint8)
dilation = cv2.dilate(median, kernel_square, iterations=2)
opening=cv2.morphologyEx(dilation,cv2.MORPH_CLOSE,kernel_square)
ret, thresh = cv2.threshold(opening, 30, 255, cv2.THRESH_BINARY)
thresh = thresh[y:y + h, x:x + w]
contours = cv2.findContours(thresh.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)[1]
if len(contours) > 0:
contour = max(contours, key=cv2.contourArea)
if cv2.contourArea(contour) > 10000 and frames > 50:
x1, y1, w1, h1 = cv2.boundingRect(contour)
pic_no += 1
save_img = thresh[y1:y1 + h1, x1:x1 + w1]
if w1 > h1:
save_img = cv2.copyMakeBorder(save_img, int((w1 - h1) / 2), int((w1 - h1) / 2), 0, 0,
cv2.BORDER_CONSTANT, (0, 0, 0))
elif h1 > w1:
save_img = cv2.copyMakeBorder(save_img, 0, 0, int((h1 - w1) / 2), int((h1 - w1) / 2),
cv2.BORDER_CONSTANT, (0, 0, 0))
save_img = cv2.resize(save_img, (image_x, image_y))
cv2.putText(frame, "Capturing...", (30, 60), cv2.FONT_HERSHEY_TRIPLEX, 2, (127, 255, 255))
cv2.imwrite("gestures/" + str(g_id) + "/" + str(pic_no) + ".jpg", save_img)
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
cv2.putText(frame, str(pic_no), (30, 400), cv2.FONT_HERSHEY_TRIPLEX, 1.5, (127, 127, 255))
cv2.imshow("Capturing gesture", frame)
cv2.imshow("thresh", thresh)
keypress = cv2.waitKey(1)
if keypress == ord('c'):
if flag_start_capturing == False:
flag_start_capturing = True
else:
flag_start_capturing = False
frames = 0
if flag_start_capturing == True:
frames += 1
if pic_no == total_pics:
break
Example #11
| Source File: create_gestures.py From Sign-Language-Interpreter-using-Deep-Learning with MIT License | 4 votes |
|
def store_images(g_id):
total_pics = 1200
hist = get_hand_hist()
cam = cv2.VideoCapture(1)
if cam.read()[0]==False:
cam = cv2.VideoCapture(0)
x, y, w, h = 300, 100, 300, 300
create_folder("gestures/"+str(g_id))
pic_no = 0
flag_start_capturing = False
frames = 0
while True:
img = cam.read()[1]
img = cv2.flip(img, 1)
imgHSV = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
dst = cv2.calcBackProject([imgHSV], [0, 1], hist, [0, 180, 0, 256], 1)
disc = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(10,10))
cv2.filter2D(dst,-1,disc,dst)
blur = cv2.GaussianBlur(dst, (11,11), 0)
blur = cv2.medianBlur(blur, 15)
thresh = cv2.threshold(blur,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)[1]
thresh = cv2.merge((thresh,thresh,thresh))
thresh = cv2.cvtColor(thresh, cv2.COLOR_BGR2GRAY)
thresh = thresh[y:y+h, x:x+w]
contours = cv2.findContours(thresh.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)[1]
if len(contours) > 0:
contour = max(contours, key = cv2.contourArea)
if cv2.contourArea(contour) > 10000 and frames > 50:
x1, y1, w1, h1 = cv2.boundingRect(contour)
pic_no += 1
save_img = thresh[y1:y1+h1, x1:x1+w1]
if w1 > h1:
save_img = cv2.copyMakeBorder(save_img, int((w1-h1)/2) , int((w1-h1)/2) , 0, 0, cv2.BORDER_CONSTANT, (0, 0, 0))
elif h1 > w1:
save_img = cv2.copyMakeBorder(save_img, 0, 0, int((h1-w1)/2) , int((h1-w1)/2) , cv2.BORDER_CONSTANT, (0, 0, 0))
save_img = cv2.resize(save_img, (image_x, image_y))
rand = random.randint(0, 10)
if rand % 2 == 0:
save_img = cv2.flip(save_img, 1)
cv2.putText(img, "Capturing...", (30, 60), cv2.FONT_HERSHEY_TRIPLEX, 2, (127, 255, 255))
cv2.imwrite("gestures/"+str(g_id)+"/"+str(pic_no)+".jpg", save_img)
cv2.rectangle(img, (x,y), (x+w, y+h), (0,255,0), 2)
cv2.putText(img, str(pic_no), (30, 400), cv2.FONT_HERSHEY_TRIPLEX, 1.5, (127, 127, 255))
cv2.imshow("Capturing gesture", img)
cv2.imshow("thresh", thresh)
keypress = cv2.waitKey(1)
if keypress == ord('c'):
if flag_start_capturing == False:
flag_start_capturing = True
else:
flag_start_capturing = False
frames = 0
if flag_start_capturing == True:
frames += 1
if pic_no == total_pics:
break
