Python cv2.WINDOW_GUI_NORMAL Examples
The following are 5
code examples of cv2.WINDOW_GUI_NORMAL().
You can vote up the ones you like or vote down the ones you don't like,
and go to the original project or source file by following the links above each example.
You may also want to check out all available functions/classes of the module
cv2
, or try the search function
.
.
Example #1
| Source File: vis_utils.py From ip_basic with MIT License | 6 votes |
|
def cv2_show_image(window_name, image,
size_wh=None, location_xy=None):
"""Helper function for specifying window size and location when
displaying images with cv2.
Args:
window_name: str window name
image: ndarray image to display
size_wh: window size (w, h)
location_xy: window location (x, y)
"""
if size_wh is not None:
cv2.namedWindow(window_name,
cv2.WINDOW_KEEPRATIO | cv2.WINDOW_GUI_NORMAL)
cv2.resizeWindow(window_name, *size_wh)
else:
cv2.namedWindow(window_name, cv2.WINDOW_AUTOSIZE)
if location_xy is not None:
cv2.moveWindow(window_name, *location_xy)
cv2.imshow(window_name, image)
Example #2
| Source File: vis_utils.py From PVN3D with MIT License | 6 votes |
|
def cv2_show_image(window_name, image,
size_wh=None, location_xy=None):
"""Helper function for specifying window size and location when
displaying images with cv2.
Args:
window_name: str window name
image: ndarray image to display
size_wh: window size (w, h)
location_xy: window location (x, y)
"""
if size_wh is not None:
cv2.namedWindow(window_name,
cv2.WINDOW_KEEPRATIO | cv2.WINDOW_GUI_NORMAL)
cv2.resizeWindow(window_name, *size_wh)
else:
cv2.namedWindow(window_name, cv2.WINDOW_AUTOSIZE)
if location_xy is not None:
cv2.moveWindow(window_name, *location_xy)
cv2.imshow(window_name, image)
Example #3
| Source File: demo.py From hrnet with MIT License | 5 votes |
|
def main():
args = parse_args()
update_config(cfg, args)
# cudnn related setting
cudnn.benchmark = cfg.CUDNN.BENCHMARK
torch.backends.cudnn.deterministic = cfg.CUDNN.DETERMINISTIC
torch.backends.cudnn.enabled = cfg.CUDNN.ENABLED
########## 加载human detecotor model
from lib.detector.yolo.human_detector import load_model as yolo_model
human_model = yolo_model()
from lib.detector.yolo.human_detector import human_bbox_get as yolo_det
bboxs, scores = yolo_det(args.img_input, human_model, confidence=0.5) # bboxes (N, 4) [x0, y0, x1, y1]
# bbox is coordinate location
inputs, origin_img, center, scale = PreProcess(args.img_input, bboxs, scores, cfg)
# load MODEL
model = model_load(cfg)
with torch.no_grad():
# compute output heatmap
# inputs = inputs[:,[2,1,0]]
# inputs = cv2.cvtColor(inputs, cv2.COLOR_BGR2RGB)
output = model(inputs)
# compute coordinate
preds, maxvals = get_final_preds(
cfg, output.clone().cpu().numpy(), np.asarray(center), np.asarray(scale))
image = plot_keypoint(origin_img, preds, maxvals, 0.3)
cv2.imwrite(args.img_output, image)
if args.display:
cv2.namedWindow("enhanced", cv2.WINDOW_GUI_NORMAL);
cv2.resizeWindow("enhanced", 960, 480);
cv2.imshow('enhanced', image)
cv2.waitKey(5000)
Example #4
| Source File: demo_mmd.py From hrnet with MIT License | 5 votes |
|
def main():
args = parse_args()
update_config(cfg, args)
# cudnn related setting
cudnn.benchmark = cfg.CUDNN.BENCHMARK
torch.backends.cudnn.deterministic = cfg.CUDNN.DETERMINISTIC
torch.backends.cudnn.enabled = cfg.CUDNN.ENABLED
########## 加载human detecotor model
from lib.detector.mmdetection.high_api import load_model
human_model = load_model()
from lib.detector.mmdetection.high_api import human_boxes_get as mmd_detector
bboxs, scores = mmd_detector(human_model, args.img_input) # bboxes (N, 4) [x0, y0, x1, y1]
# bbox is coordinate location
inputs, origin_img, center, scale = PreProcess(args.img_input, bboxs, scores, cfg)
# load HRNET MODEL
model = model_load(cfg)
with torch.no_grad():
# compute output heatmap
# inputs = inputs[:,[2,1,0]]
# inputs = cv2.cvtColor(inputs, cv2.COLOR_BGR2RGB)
output = model(inputs)
# compute coordinate
preds, maxvals = get_final_preds(
cfg, output.clone().cpu().numpy(), np.asarray(center), np.asarray(scale))
image = plot_keypoint(origin_img, preds, maxvals, 0.3)
cv2.imwrite(args.img_output, image)
if args.display:
cv2.namedWindow("enhanced", cv2.WINDOW_GUI_NORMAL);
cv2.resizeWindow("enhanced", 960, 480);
cv2.imshow('enhanced', image)
cv2.waitKey(5000)
Example #5
| Source File: vis_utils.py From monopsr with MIT License | 5 votes |
|
def cv2_imshow(window_name, image,
size_wh=None, row_col=None, location_xy=None):
"""Helper function for specifying window size and location when
displaying images with cv2
Args:
window_name (string): Window title
image: image to display
size_wh: resize window
Recommended sizes for 1920x1080 screen:
2 col: (930, 280)
3 col: (620, 187)
4 col: (465, 140)
row_col: Row and column to show images like subplots
location_xy: location of window
"""
if size_wh is not None:
cv2.namedWindow(window_name, cv2.WINDOW_KEEPRATIO | cv2.WINDOW_GUI_NORMAL)
cv2.resizeWindow(window_name, *size_wh)
else:
cv2.namedWindow(window_name, cv2.WINDOW_AUTOSIZE | cv2.WINDOW_GUI_NORMAL)
if row_col is not None:
start_x_offset = 60
start_y_offset = 25
y_offset = 28
subplot_row = row_col[0]
subplot_col = row_col[1]
location_xy = (start_x_offset + subplot_col * size_wh[0],
start_y_offset + subplot_row * size_wh[1] + subplot_row * y_offset)
if location_xy is not None:
cv2.moveWindow(window_name, *location_xy)
cv2.imshow(window_name, image)
