ultralytics 8.0.239 Ultralytics Actions and hub-sdk adoption (#7431)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Burhan <62214284+Burhan-Q@users.noreply.github.com>
Co-authored-by: Kayzwer <68285002+Kayzwer@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2024-01-10 03:16:08 +01:00 committed by GitHub
parent e795277391
commit fe27db2f6e
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
139 changed files with 6870 additions and 5125 deletions

View file

@ -8,7 +8,7 @@ import numpy as np
from ultralytics.utils.checks import check_imshow, check_requirements
from ultralytics.utils.plotting import Annotator
check_requirements('shapely>=2.0.0')
check_requirements("shapely>=2.0.0")
from shapely.geometry import LineString, Point, Polygon
@ -22,7 +22,7 @@ class Heatmap:
# Visual information
self.annotator = None
self.view_img = False
self.shape = 'circle'
self.shape = "circle"
# Image information
self.imw = None
@ -63,23 +63,25 @@ class Heatmap:
# Check if environment support imshow
self.env_check = check_imshow(warn=True)
def set_args(self,
imw,
imh,
colormap=cv2.COLORMAP_JET,
heatmap_alpha=0.5,
view_img=False,
view_in_counts=True,
view_out_counts=True,
count_reg_pts=None,
count_txt_thickness=2,
count_txt_color=(0, 0, 0),
count_color=(255, 255, 255),
count_reg_color=(255, 0, 255),
region_thickness=5,
line_dist_thresh=15,
decay_factor=0.99,
shape='circle'):
def set_args(
self,
imw,
imh,
colormap=cv2.COLORMAP_JET,
heatmap_alpha=0.5,
view_img=False,
view_in_counts=True,
view_out_counts=True,
count_reg_pts=None,
count_txt_thickness=2,
count_txt_color=(0, 0, 0),
count_color=(255, 255, 255),
count_reg_color=(255, 0, 255),
region_thickness=5,
line_dist_thresh=15,
decay_factor=0.99,
shape="circle",
):
"""
Configures the heatmap colormap, width, height and display parameters.
@ -111,20 +113,19 @@ class Heatmap:
# Region and line selection
if count_reg_pts is not None:
if len(count_reg_pts) == 2:
print('Line Counter Initiated.')
print("Line Counter Initiated.")
self.count_reg_pts = count_reg_pts
self.counting_region = LineString(count_reg_pts)
elif len(count_reg_pts) == 4:
print('Region Counter Initiated.')
print("Region Counter Initiated.")
self.count_reg_pts = count_reg_pts
self.counting_region = Polygon(self.count_reg_pts)
else:
print('Region or line points Invalid, 2 or 4 points supported')
print('Using Line Counter Now')
print("Region or line points Invalid, 2 or 4 points supported")
print("Using Line Counter Now")
self.counting_region = Polygon([(20, 400), (1260, 400)]) # dummy points
# Heatmap new frame
@ -140,10 +141,10 @@ class Heatmap:
self.shape = shape
# shape of heatmap, if not selected
if self.shape not in ['circle', 'rect']:
if self.shape not in ["circle", "rect"]:
print("Unknown shape value provided, 'circle' & 'rect' supported")
print('Using Circular shape now')
self.shape = 'circle'
print("Using Circular shape now")
self.shape = "circle"
def extract_results(self, tracks):
"""
@ -177,27 +178,26 @@ class Heatmap:
self.annotator = Annotator(self.im0, self.count_txt_thickness, None)
if self.count_reg_pts is not None:
# Draw counting region
if self.view_in_counts or self.view_out_counts:
self.annotator.draw_region(reg_pts=self.count_reg_pts,
color=self.region_color,
thickness=self.region_thickness)
self.annotator.draw_region(
reg_pts=self.count_reg_pts, color=self.region_color, thickness=self.region_thickness
)
for box, cls, track_id in zip(self.boxes, self.clss, self.track_ids):
if self.shape == 'circle':
if self.shape == "circle":
center = (int((box[0] + box[2]) // 2), int((box[1] + box[3]) // 2))
radius = min(int(box[2]) - int(box[0]), int(box[3]) - int(box[1])) // 2
y, x = np.ogrid[0:self.heatmap.shape[0], 0:self.heatmap.shape[1]]
mask = (x - center[0]) ** 2 + (y - center[1]) ** 2 <= radius ** 2
y, x = np.ogrid[0 : self.heatmap.shape[0], 0 : self.heatmap.shape[1]]
mask = (x - center[0]) ** 2 + (y - center[1]) ** 2 <= radius**2
self.heatmap[int(box[1]):int(box[3]), int(box[0]):int(box[2])] += \
(2 * mask[int(box[1]):int(box[3]), int(box[0]):int(box[2])])
self.heatmap[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])] += (
2 * mask[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])]
)
else:
self.heatmap[int(box[1]):int(box[3]), int(box[0]):int(box[2])] += 2
self.heatmap[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])] += 2
# Store tracking hist
track_line = self.track_history[track_id]
@ -226,26 +226,26 @@ class Heatmap:
self.in_counts += 1
else:
for box, cls in zip(self.boxes, self.clss):
if self.shape == 'circle':
if self.shape == "circle":
center = (int((box[0] + box[2]) // 2), int((box[1] + box[3]) // 2))
radius = min(int(box[2]) - int(box[0]), int(box[3]) - int(box[1])) // 2
y, x = np.ogrid[0:self.heatmap.shape[0], 0:self.heatmap.shape[1]]
mask = (x - center[0]) ** 2 + (y - center[1]) ** 2 <= radius ** 2
y, x = np.ogrid[0 : self.heatmap.shape[0], 0 : self.heatmap.shape[1]]
mask = (x - center[0]) ** 2 + (y - center[1]) ** 2 <= radius**2
self.heatmap[int(box[1]):int(box[3]), int(box[0]):int(box[2])] += \
(2 * mask[int(box[1]):int(box[3]), int(box[0]):int(box[2])])
self.heatmap[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])] += (
2 * mask[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])]
)
else:
self.heatmap[int(box[1]):int(box[3]), int(box[0]):int(box[2])] += 2
self.heatmap[int(box[1]) : int(box[3]), int(box[0]) : int(box[2])] += 2
# Normalize, apply colormap to heatmap and combine with original image
heatmap_normalized = cv2.normalize(self.heatmap, None, 0, 255, cv2.NORM_MINMAX)
heatmap_colored = cv2.applyColorMap(heatmap_normalized.astype(np.uint8), self.colormap)
incount_label = 'In Count : ' + f'{self.in_counts}'
outcount_label = 'OutCount : ' + f'{self.out_counts}'
incount_label = "In Count : " + f"{self.in_counts}"
outcount_label = "OutCount : " + f"{self.out_counts}"
# Display counts based on user choice
counts_label = None
@ -256,13 +256,15 @@ class Heatmap:
elif not self.view_out_counts:
counts_label = incount_label
else:
counts_label = incount_label + ' ' + outcount_label
counts_label = incount_label + " " + outcount_label
if self.count_reg_pts is not None and counts_label is not None:
self.annotator.count_labels(counts=counts_label,
count_txt_size=self.count_txt_thickness,
txt_color=self.count_txt_color,
color=self.count_color)
self.annotator.count_labels(
counts=counts_label,
count_txt_size=self.count_txt_thickness,
txt_color=self.count_txt_color,
color=self.count_color,
)
self.im0 = cv2.addWeighted(self.im0, 1 - self.heatmap_alpha, heatmap_colored, self.heatmap_alpha, 0)
@ -273,11 +275,11 @@ class Heatmap:
def display_frames(self):
"""Display frame."""
cv2.imshow('Ultralytics Heatmap', self.im0)
cv2.imshow("Ultralytics Heatmap", self.im0)
if cv2.waitKey(1) & 0xFF == ord('q'):
if cv2.waitKey(1) & 0xFF == ord("q"):
return
if __name__ == '__main__':
if __name__ == "__main__":
Heatmap()