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New 🌟 per-class object counting feature and updates (#9443)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
This commit is contained in:
Muhammad Rizwan Munawar 2024-03-31 19:05:20 +05:00 • committed by GitHub
parent 1703025e8e
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5 changed files with 274 additions and 150 deletions
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97
docs/en/guides/heatmaps.md
View file

@ -65,7 +65,8 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
imw=w,
imh=h,
view_img=True,
shape="circle")
shape="circle",
classes_names=model.names)
while cap.isOpened():
success, im0 = cap.read()
@ -110,7 +111,8 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
imh=h,
view_img=True,
shape="circle",
count_reg_pts=line_points)
count_reg_pts=line_points,
classes_names=model.names)
while cap.isOpened():
success, im0 = cap.read()
@ -126,6 +128,51 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
video_writer.release()
cv2.destroyAllWindows()
```
=== "Polygon Counting"
```python
from ultralytics import YOLO
import heatmap
import cv2
model = YOLO("yolov8n.pt")
cap = cv2.VideoCapture("path/to/video/file.mp4")
assert cap.isOpened(), "Error reading video file"
w, h, fps = (int(cap.get(x)) for x in (cv2.CAP_PROP_FRAME_WIDTH, cv2.CAP_PROP_FRAME_HEIGHT, cv2.CAP_PROP_FPS))
# Video writer
video_writer = cv2.VideoWriter("heatmap_output.avi",
cv2.VideoWriter_fourcc(*'mp4v'),
fps,
(w, h))
# Define polygon points
region_points = [(20, 400), (1080, 404), (1080, 360), (20, 360), (20, 400)]
# Init heatmap
heatmap_obj = heatmap.Heatmap()
heatmap_obj.set_args(colormap=cv2.COLORMAP_PARULA,
imw=w,
imh=h,
view_img=True,
shape="circle",
count_reg_pts=region_points,
classes_names=model.names)
while cap.isOpened():
success, im0 = cap.read()
if not success:
print("Video frame is empty or video processing has been successfully completed.")
break
tracks = model.track(im0, persist=True, show=False)
im0 = heatmap_obj.generate_heatmap(im0, tracks)
video_writer.write(im0)
cap.release()
video_writer.release()
cv2.destroyAllWindows()
```
=== "Region Counting"
@ -155,7 +202,8 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
imh=h,
view_img=True,
shape="circle",
count_reg_pts=region_points)
count_reg_pts=region_points,
classes_names=model.names)
while cap.isOpened():
success, im0 = cap.read()
@ -190,7 +238,8 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
imw=w,
imh=h,
view_img=True,
shape="circle")
shape="circle",
classes_names=model.names)
results = model.track(im0, persist=True)
im0 = heatmap_obj.generate_heatmap(im0, tracks=results)
@ -223,7 +272,8 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
imw=w,
imh=h,
view_img=True,
shape="circle")
shape="circle",
classes_names=model.names)
while cap.isOpened():
success, im0 = cap.read()
@ -243,22 +293,27 @@ A heatmap generated with [Ultralytics YOLOv8](https://github.com/ultralytics/ult
### Arguments `set_args`
| Name | Type | Default | Description |
|-----------------------|----------------|-------------------|-----------------------------------------------------------|
| `view_img` | `bool` | `False` | Display the frame with heatmap |
| `colormap` | `cv2.COLORMAP` | `None` | cv2.COLORMAP for heatmap |
| `imw` | `int` | `None` | Width of Heatmap |
| `imh` | `int` | `None` | Height of Heatmap |
| `heatmap_alpha` | `float` | `0.5` | Heatmap alpha value |
| `count_reg_pts` | `list` | `None` | Object counting region points |
| `count_txt_thickness` | `int` | `2` | Count values text size |
| `count_txt_color` | `RGB Color` | `(0, 0, 0)` | Foreground color for Object counts text |
| `count_color` | `RGB Color` | `(255, 255, 255)` | Background color for Object counts text |
| `count_reg_color` | `RGB Color` | `(255, 0, 255)` | Counting region color |
| `region_thickness` | `int` | `5` | Counting region thickness value |
| `decay_factor` | `float` | `0.99` | Decay factor for heatmap area removal after specific time |
| `shape` | `str` | `circle` | Heatmap shape for display "rect" or "circle" supported |
| `line_dist_thresh` | `int` | `15` | Euclidean Distance threshold for line counter |
| Name | Type | Default | Description |
|-----------------------|----------------|---------------------|-----------------------------------------------------------|
| `view_img` | `bool` | `False` | Display the frame with heatmap |
| `colormap` | `cv2.COLORMAP` | `None` | cv2.COLORMAP for heatmap |
| `imw` | `int` | `None` | Width of Heatmap |
| `imh` | `int` | `None` | Height of Heatmap |
| `view_in_counts` | `bool` | `True` | Display in-counts only on video frame |
| `view_out_counts` | `bool` | `True` | Display out-counts only on video frame |
| `classes_names` | `dict` | `model.model.names` | Dictionary of Class Names |
| `heatmap_alpha` | `float` | `0.5` | Heatmap alpha value |
| `count_reg_pts` | `list` | `None` | Object counting region points |
| `count_txt_thickness` | `int` | `2` | Count values text size |
| `count_txt_color` | `RGB Color` | `(0, 0, 0)` | Foreground color for Object counts text |
| `count_reg_color` | `RGB Color` | `(255, 0, 255)` | Counting region color |
| `region_thickness` | `int` | `5` | Counting region thickness value |
| `decay_factor` | `float` | `0.99` | Decay factor for heatmap area removal after specific time |
| `shape` | `str` | `circle` | Heatmap shape for display "rect" or "circle" supported |
| `line_dist_thresh` | `int` | `15` | Euclidean Distance threshold for line counter |
| `fontsize` | `float` | `0.6` | Font size of counting text |
| `line_color` | `RGB Color` | `(255, 255, 255)` | Count highlighter color |
| `cls_txtdisplay_gap` | `int` | `50` | Display gap between each class count |
### Arguments `model.track`

6
docs/en/guides/object-counting.md
View file

@ -229,9 +229,11 @@ Object counting with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
| `track_color` | `RGB Color` | `(0, 255, 0)` | Color for each track line |
| `line_dist_thresh` | `int` | `15` | Euclidean Distance threshold for line counter |
| `count_txt_thickness` | `int` | `2` | Thickness of Object counts text |
| `count_txt_color` | `RGB Color` | `(0, 0, 0)` | Foreground color for Object counts text |
| `count_color` | `RGB Color` | `(255, 255, 255)` | Background color for Object counts text |
| `count_txt_color` | `RGB Color` | `(255, 255, 255)` | Foreground color for Object counts text |
| `region_thickness` | `int` | `5` | Thickness for object counter region or line |
| `fontsize` | `float` | `0.6` | Font size of counting text |
| `line_color` | `RGB Color` | `(255, 255, 255)` | Count highlighter color |
| `cls_txtdisplay_gap` | `int` | `50` | Display gap between each class count |
### Arguments `model.track`

130
ultralytics/solutions/heatmap.py
View file

@ -24,6 +24,8 @@ class Heatmap:
self.view_img = False
self.shape = "circle"
self.names = None # Classes names
# Image information
self.imw = None
self.imh = None
@ -52,10 +54,13 @@ class Heatmap:
# Object Counting Information
self.in_counts = 0
self.out_counts = 0
self.counting_list = []
self.count_ids = []
self.class_wise_count = {}
self.count_txt_thickness = 0
self.count_txt_color = (0, 0, 0)
self.count_color = (255, 255, 255)
self.count_txt_color = (255, 255, 255)
self.line_color = (255, 255, 255)
self.cls_txtdisplay_gap = 50
self.fontsize = 0.6
# Decay factor
self.decay_factor = 0.99
@ -67,6 +72,7 @@ class Heatmap:
self,
imw,
imh,
classes_names=None,
colormap=cv2.COLORMAP_JET,
heatmap_alpha=0.5,
view_img=False,
@ -74,13 +80,15 @@ class Heatmap:
view_out_counts=True,
count_reg_pts=None,
count_txt_thickness=2,
count_txt_color=(0, 0, 0),
count_color=(255, 255, 255),
count_txt_color=(255, 255, 255),
fontsize=0.8,
line_color=(255, 255, 255),
count_reg_color=(255, 0, 255),
region_thickness=5,
line_dist_thresh=15,
decay_factor=0.99,
shape="circle",
cls_txtdisplay_gap=50,
):
"""
Configures the heatmap colormap, width, height and display parameters.
@ -89,6 +97,7 @@ class Heatmap:
colormap (cv2.COLORMAP): The colormap to be set.
imw (int): The width of the frame.
imh (int): The height of the frame.
classes_names (dict): Classes names
heatmap_alpha (float): alpha value for heatmap display
view_img (bool): Flag indicating frame display
view_in_counts (bool): Flag to control whether to display the incounts on video stream.
@ -96,13 +105,16 @@ class Heatmap:
count_reg_pts (list): Object counting region points
count_txt_thickness (int): Text thickness for object counting display
count_txt_color (RGB color): count text color value
count_color (RGB color): count text background color value
fontsize (float): Text display font size
line_color (RGB color): count highlighter line color
count_reg_color (RGB color): Color of object counting region
region_thickness (int): Object counting Region thickness
line_dist_thresh (int): Euclidean Distance threshold for line counter
decay_factor (float): value for removing heatmap area after object passed
shape (str): Heatmap shape, rect or circle shape supported
cls_txtdisplay_gap (int): Display gap between each class count
"""
self.names = classes_names
self.imw = imw
self.imh = imh
self.heatmap_alpha = heatmap_alpha
@ -116,29 +128,29 @@ class Heatmap:
if len(count_reg_pts) == 2:
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.")
self.counting_region = LineString(self.count_reg_pts)
elif len(count_reg_pts) >= 3:
print("Polygon 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("Invalid Region points provided, region_points must be 2 for lines or >= 3 for polygons.")
print("Using Line Counter Now")
self.counting_region = Polygon([(20, 400), (1260, 400)]) # dummy points
self.counting_region = LineString(self.count_reg_pts)
# Heatmap new frame
self.heatmap = np.zeros((int(self.imh), int(self.imw)), dtype=np.float32)
self.count_txt_thickness = count_txt_thickness
self.count_txt_color = count_txt_color
self.count_color = count_color
self.fontsize = fontsize
self.line_color = line_color
self.region_color = count_reg_color
self.region_thickness = region_thickness
self.decay_factor = decay_factor
self.line_dist_thresh = line_dist_thresh
self.shape = shape
self.cls_txtdisplay_gap = cls_txtdisplay_gap
# shape of heatmap, if not selected
if self.shape not in ["circle", "rect"]:
@ -183,6 +195,12 @@ class Heatmap:
)
for box, cls, track_id in zip(self.boxes, self.clss, self.track_ids):
# Store class info
if self.names[cls] not in self.class_wise_count:
if len(self.names[cls]) > 5:
self.names[cls] = self.names[cls][:5]
self.class_wise_count[self.names[cls]] = {"in": 0, "out": 0}
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
@ -203,23 +221,39 @@ class Heatmap:
if len(track_line) > 30:
track_line.pop(0)
# Count objects
if len(self.count_reg_pts) == 4:
if self.counting_region.contains(Point(track_line[-1])) and track_id not in self.counting_list:
self.counting_list.append(track_id)
if box[0] < self.counting_region.centroid.x:
self.out_counts += 1
else:
self.in_counts += 1
prev_position = self.track_history[track_id][-2] if len(self.track_history[track_id]) > 1 else None
elif len(self.count_reg_pts) == 2:
distance = Point(track_line[-1]).distance(self.counting_region)
if distance < self.line_dist_thresh and track_id not in self.counting_list:
self.counting_list.append(track_id)
if box[0] < self.counting_region.centroid.x:
self.out_counts += 1
else:
# Count objects in any polygon
if len(self.count_reg_pts) >= 3:
is_inside = self.counting_region.contains(Point(track_line[-1]))
if prev_position is not None and is_inside and track_id not in self.count_ids:
self.count_ids.append(track_id)
if (box[0] - prev_position[0]) * (self.counting_region.centroid.x - prev_position[0]) > 0:
self.in_counts += 1
self.class_wise_count[self.names[cls]]["in"] += 1
else:
self.out_counts += 1
self.class_wise_count[self.names[cls]]["out"] += 1
# Count objects using line
elif len(self.count_reg_pts) == 2:
is_inside = (box[0] - prev_position[0]) * (self.counting_region.centroid.x - prev_position[0]) > 0
if prev_position is not None and is_inside and track_id not in self.count_ids:
distance = Point(track_line[-1]).distance(self.counting_region)
if distance < self.line_dist_thresh and track_id not in self.count_ids:
self.count_ids.append(track_id)
if (box[0] - prev_position[0]) * (self.counting_region.centroid.x - prev_position[0]) > 0:
self.in_counts += 1
self.class_wise_count[self.names[cls]]["in"] += 1
else:
self.out_counts += 1
self.class_wise_count[self.names[cls]]["out"] += 1
else:
for box, cls in zip(self.boxes, self.clss):
if self.shape == "circle":
@ -240,26 +274,30 @@ class Heatmap:
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 = f"In Count : {self.in_counts}"
outcount_label = f"OutCount : {self.out_counts}"
label = "Ultralytics Analytics \t"
# Display counts based on user choice
counts_label = None
if not self.view_in_counts and not self.view_out_counts:
counts_label = None
elif not self.view_in_counts:
counts_label = outcount_label
elif not self.view_out_counts:
counts_label = incount_label
else:
counts_label = f"{incount_label} {outcount_label}"
for key, value in self.class_wise_count.items():
if value["in"] != 0 or value["out"] != 0:
if not self.view_in_counts and not self.view_out_counts:
label = None
elif not self.view_in_counts:
label += f"{str.capitalize(key)}: IN {value['in']} \t"
elif not self.view_out_counts:
label += f"{str.capitalize(key)}: OUT {value['out']} \t"
else:
label += f"{str.capitalize(key)}: IN {value['in']} OUT {value['out']} \t"
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,
label = label.rstrip()
label = label.split("\t")
if self.count_reg_pts is not None and label is not None:
self.annotator.display_counts(
counts=label,
tf=self.count_txt_thickness,
fontScale=self.fontsize,
txt_color=self.count_txt_color,
color=self.count_color,
line_color=self.line_color,
classwise_txtgap=self.cls_txtdisplay_gap,
)
self.im0 = cv2.addWeighted(self.im0, 1 - self.heatmap_alpha, heatmap_colored, self.heatmap_alpha, 0)

135
ultralytics/solutions/object_counter.py
View file

@ -43,16 +43,19 @@ class ObjectCounter:
# Object counting Information
self.in_counts = 0
self.out_counts = 0
self.counting_dict = {}
self.count_ids = []
self.class_wise_count = {}
self.count_txt_thickness = 0
self.count_txt_color = (0, 0, 0)
self.count_color = (255, 255, 255)
self.count_txt_color = (255, 255, 255)
self.line_color = (255, 255, 255)
self.cls_txtdisplay_gap = 50
self.fontsize = 0.6
# Tracks info
self.track_history = defaultdict(list)
self.track_thickness = 2
self.draw_tracks = False
self.track_color = (0, 255, 0)
self.track_color = None
# Check if environment support imshow
self.env_check = check_imshow(warn=True)
@ -68,12 +71,14 @@ class ObjectCounter:
view_in_counts=True,
view_out_counts=True,
draw_tracks=False,
count_txt_thickness=2,
count_txt_color=(0, 0, 0),
count_color=(255, 255, 255),
track_color=(0, 255, 0),
count_txt_thickness=3,
count_txt_color=(255, 255, 255),
fontsize=0.8,
line_color=(255, 255, 255),
track_color=None,
region_thickness=5,
line_dist_thresh=15,
cls_txtdisplay_gap=50,
):
"""
Configures the Counter's image, bounding box line thickness, and counting region points.
@ -89,11 +94,13 @@ class ObjectCounter:
draw_tracks (Bool): draw tracks
count_txt_thickness (int): Text thickness for object counting display
count_txt_color (RGB color): count text color value
count_color (RGB color): count text background color value
fontsize (float): Text display font size
line_color (RGB color): count highlighter line color
count_reg_color (RGB color): Color of object counting region
track_color (RGB color): color for tracks
region_thickness (int): Object counting Region thickness
line_dist_thresh (int): Euclidean Distance threshold for line counter
cls_txtdisplay_gap (int): Display gap between each class count
"""
self.tf = line_thickness
self.view_img = view_img
@ -108,7 +115,7 @@ class ObjectCounter:
self.reg_pts = reg_pts
self.counting_region = LineString(self.reg_pts)
elif len(reg_pts) >= 3:
print("Region Counter Initiated.")
print("Polygon Counter Initiated.")
self.reg_pts = reg_pts
self.counting_region = Polygon(self.reg_pts)
else:
@ -120,10 +127,12 @@ class ObjectCounter:
self.track_color = track_color
self.count_txt_thickness = count_txt_thickness
self.count_txt_color = count_txt_color
self.count_color = count_color
self.fontsize = fontsize
self.line_color = line_color
self.region_color = count_reg_color
self.region_thickness = region_thickness
self.line_dist_thresh = line_dist_thresh
self.cls_txtdisplay_gap = cls_txtdisplay_gap
def mouse_event_for_region(self, event, x, y, flags, params):
"""
@ -171,7 +180,13 @@ class ObjectCounter:
# Extract tracks
for box, track_id, cls in zip(boxes, track_ids, clss):
# Draw bounding box
self.annotator.box_label(box, label=f"{track_id}:{self.names[cls]}", color=colors(int(track_id), True))
self.annotator.box_label(box, label=f"{self.names[cls]}#{track_id}", color=colors(int(track_id), True))
# Store class info
if self.names[cls] not in self.class_wise_count:
if len(self.names[cls]) > 5:
self.names[cls] = self.names[cls][:5]
self.class_wise_count[self.names[cls]] = {"in": 0, "out": 0}
# Draw Tracks
track_line = self.track_history[track_id]
@ -182,68 +197,68 @@ class ObjectCounter:
# Draw track trails
if self.draw_tracks:
self.annotator.draw_centroid_and_tracks(
track_line, color=self.track_color, track_thickness=self.track_thickness
track_line,
color=self.track_color if self.track_color else colors(int(track_id), True),
track_thickness=self.track_thickness,
)
prev_position = self.track_history[track_id][-2] if len(self.track_history[track_id]) > 1 else None
centroid = Point((box[:2] + box[2:]) / 2)
# Count objects
if len(self.reg_pts) >= 3: # any polygon
is_inside = self.counting_region.contains(centroid)
current_position = "in" if is_inside else "out"
# Count objects in any polygon
if len(self.reg_pts) >= 3:
is_inside = self.counting_region.contains(Point(track_line[-1]))
if prev_position is not None:
if self.counting_dict[track_id] != current_position and is_inside:
if prev_position is not None and is_inside and track_id not in self.count_ids:
self.count_ids.append(track_id)
if (box[0] - prev_position[0]) * (self.counting_region.centroid.x - prev_position[0]) > 0:
self.in_counts += 1
self.counting_dict[track_id] = "in"
elif self.counting_dict[track_id] != current_position and not is_inside:
self.out_counts += 1
self.counting_dict[track_id] = "out"
self.class_wise_count[self.names[cls]]["in"] += 1
else:
self.counting_dict[track_id] = current_position
else:
self.counting_dict[track_id] = current_position
self.out_counts += 1
self.class_wise_count[self.names[cls]]["out"] += 1
# Count objects using line
elif len(self.reg_pts) == 2:
if prev_position is not None:
is_inside = (box[0] - prev_position[0]) * (
self.counting_region.centroid.x - prev_position[0]
) > 0
current_position = "in" if is_inside else "out"
is_inside = (box[0] - prev_position[0]) * (self.counting_region.centroid.x - prev_position[0]) > 0
if self.counting_dict[track_id] != current_position and is_inside:
self.in_counts += 1
self.counting_dict[track_id] = "in"
elif self.counting_dict[track_id] != current_position and not is_inside:
self.out_counts += 1
self.counting_dict[track_id] = "out"
else:
self.counting_dict[track_id] = current_position
else:
self.counting_dict[track_id] = None
if prev_position is not None and is_inside and track_id not in self.count_ids:
distance = Point(track_line[-1]).distance(self.counting_region)
incount_label = f"In Count : {self.in_counts}"
outcount_label = f"OutCount : {self.out_counts}"
if distance < self.line_dist_thresh and track_id not in self.count_ids:
self.count_ids.append(track_id)
# Display counts based on user choice
counts_label = None
if not self.view_in_counts and not self.view_out_counts:
counts_label = None
elif not self.view_in_counts:
counts_label = outcount_label
elif not self.view_out_counts:
counts_label = incount_label
else:
counts_label = f"{incount_label} {outcount_label}"
if (box[0] - prev_position[0]) * (self.counting_region.centroid.x - prev_position[0]) > 0:
self.in_counts += 1
self.class_wise_count[self.names[cls]]["in"] += 1
else:
self.out_counts += 1
self.class_wise_count[self.names[cls]]["out"] += 1
if counts_label is not None:
self.annotator.count_labels(
counts=counts_label,
count_txt_size=self.count_txt_thickness,
label = "Ultralytics Analytics \t"
for key, value in self.class_wise_count.items():
if value["in"] != 0 or value["out"] != 0:
if not self.view_in_counts and not self.view_out_counts:
label = None
elif not self.view_in_counts:
label += f"{str.capitalize(key)}: IN {value['in']} \t"
elif not self.view_out_counts:
label += f"{str.capitalize(key)}: OUT {value['out']} \t"
else:
label += f"{str.capitalize(key)}: IN {value['in']} OUT {value['out']} \t"
label = label.rstrip()
label = label.split("\t")
if label is not None:
self.annotator.display_counts(
counts=label,
tf=self.count_txt_thickness,
fontScale=self.fontsize,
txt_color=self.count_txt_color,
color=self.count_color,
line_color=self.line_color,
classwise_txtgap=self.cls_txtdisplay_gap,
)
def display_frames(self):

56
ultralytics/utils/plotting.py
View file

@ -363,35 +363,49 @@ class Annotator:
cv2.polylines(self.im, [points], isClosed=False, color=color, thickness=track_thickness)
cv2.circle(self.im, (int(track[-1][0]), int(track[-1][1])), track_thickness * 2, color, -1)
def count_labels(self, counts=0, count_txt_size=2, color=(255, 255, 255), txt_color=(0, 0, 0)):
def display_counts(
self, counts=None, tf=2, fontScale=0.6, line_color=(0, 0, 0), txt_color=(255, 255, 255), classwise_txtgap=55
):
"""
Plot counts for object counter.
Display counts on im0.
Args:
counts (int): objects counts value
count_txt_size (int): text size for counts display
color (tuple): background color of counts display
txt_color (tuple): text color of counts display
counts (str): objects count data
tf (int): text thickness for display
fontScale (float): text fontsize for display
line_color (RGB Color): counts highlighter color
txt_color (RGB Color): counts display color
classwise_txtgap (int): Gap between each class count data
"""
self.tf = count_txt_size
tl = self.tf or round(0.002 * (self.im.shape[0] + self.im.shape[1]) / 2) + 1
tl = tf or round(0.002 * (self.im.shape[0] + self.im.shape[1]) / 2) + 1
tf = max(tl - 1, 1)
# Get text size for in_count and out_count
t_size_in = cv2.getTextSize(str(counts), 0, fontScale=tl / 2, thickness=tf)[0]
t_sizes = [cv2.getTextSize(str(count), 0, fontScale=0.8, thickness=tf)[0] for count in counts]
# Calculate positions for counts label
text_width = t_size_in[0]
text_x = (self.im.shape[1] - text_width) // 2 # Center x-coordinate
text_y = t_size_in[1]
max_text_width = max([size[0] for size in t_sizes])
max_text_height = max([size[1] for size in t_sizes])
# Create a rounded rectangle for in_count
cv2.rectangle(
self.im, (text_x - 5, text_y - 5), (text_x + text_width + 7, text_y + t_size_in[1] + 7), color, -1
)
cv2.putText(
self.im, str(counts), (text_x, text_y + t_size_in[1]), 0, tl / 2, txt_color, self.tf, lineType=cv2.LINE_AA
)
text_x = self.im.shape[1] - max_text_width - 20
text_y = classwise_txtgap
for i, count in enumerate(counts):
text_x_pos = text_x
text_y_pos = text_y + i * classwise_txtgap
cv2.putText(
self.im,
str(count),
(text_x_pos, text_y_pos),
cv2.FONT_HERSHEY_SIMPLEX,
fontScale=fontScale,
color=txt_color,
thickness=tf,
lineType=cv2.LINE_AA,
)
line_y_pos = text_y_pos + max_text_height + 5
cv2.line(self.im, (text_x_pos, line_y_pos), (text_x_pos + max_text_width, line_y_pos), line_color, tf)
@staticmethod
def estimate_pose_angle(a, b, c):