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Refactor all Ultralytics Solutions (#12790)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: RizwanMunawar <chr043416@gmail.com>
This commit is contained in:
Glenn Jocher 2024-05-18 18:14:42 +02:00 • committed by GitHub
parent a2ecb24176
commit 2af71d15a6
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134 changed files with 845 additions and 1020 deletions
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144
ultralytics/solutions/object_counter.py
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@ -15,55 +15,10 @@ from shapely.geometry import LineString, Point, Polygon
class ObjectCounter:
"""A class to manage the counting of objects in a real-time video stream based on their tracks."""
def __init__(self):
"""Initializes the Counter with default values for various tracking and counting parameters."""
# Mouse events
self.is_drawing = False
self.selected_point = None
# Region & Line Information
self.reg_pts = [(20, 400), (1260, 400)]
self.line_dist_thresh = 15
self.counting_region = None
self.region_color = (255, 0, 255)
self.region_thickness = 5
# Image and annotation Information
self.im0 = None
self.tf = None
self.view_img = False
self.view_in_counts = True
self.view_out_counts = True
self.names = None # Classes names
self.annotator = None # Annotator
self.window_name = "Ultralytics YOLOv8 Object Counter"
# Object counting Information
self.in_counts = 0
self.out_counts = 0
self.count_ids = []
self.class_wise_count = {}
self.count_txt_thickness = 0
self.count_txt_color = (255, 255, 255)
self.count_bg_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 = None
# Check if environment support imshow
self.env_check = check_imshow(warn=True)
def set_args(
def __init__(
self,
classes_names,
reg_pts,
reg_pts=None,
count_reg_color=(255, 0, 255),
count_txt_color=(0, 0, 0),
count_bg_color=(255, 255, 255),
@ -79,66 +34,90 @@ class ObjectCounter:
cls_txtdisplay_gap=50,
):
"""
Configures the Counter's image, bounding box line thickness, and counting region points.
Initializes the ObjectCounter with various tracking and counting parameters.
Args:
classes_names (dict): Dictionary of class names.
reg_pts (list): List of points defining the counting region.
count_reg_color (tuple): RGB color of the counting region.
count_txt_color (tuple): RGB color of the count text.
count_bg_color (tuple): RGB color of the count text background.
line_thickness (int): Line thickness for bounding boxes.
track_thickness (int): Thickness of the track lines.
view_img (bool): Flag to control whether to display the video stream.
view_in_counts (bool): Flag to control whether to display the incounts on video stream.
view_out_counts (bool): Flag to control whether to display the outcounts on video stream.
reg_pts (list): Initial list of points defining the counting region.
classes_names (dict): Classes names
track_thickness (int): Track thickness
draw_tracks (Bool): draw tracks
count_txt_color (RGB color): count text color value
count_bg_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
view_in_counts (bool): Flag to control whether to display the in counts on the video stream.
view_out_counts (bool): Flag to control whether to display the out counts on the video stream.
draw_tracks (bool): Flag to control whether to draw the object tracks.
track_color (tuple): RGB color of the tracks.
region_thickness (int): Thickness of the object counting region.
line_dist_thresh (int): Euclidean distance threshold for line counter.
cls_txtdisplay_gap (int): Display gap between each class count.
"""
# Mouse events
self.is_drawing = False
self.selected_point = None
# Region & Line Information
self.reg_pts = [(20, 400), (1260, 400)] if reg_pts is None else reg_pts
self.line_dist_thresh = line_dist_thresh
self.counting_region = None
self.region_color = count_reg_color
self.region_thickness = region_thickness
# Image and annotation Information
self.im0 = None
self.tf = line_thickness
self.view_img = view_img
self.view_in_counts = view_in_counts
self.view_out_counts = view_out_counts
self.names = classes_names # Classes names
self.annotator = None # Annotator
self.window_name = "Ultralytics YOLOv8 Object Counter"
# Object counting Information
self.in_counts = 0
self.out_counts = 0
self.count_ids = []
self.class_wise_count = {}
self.count_txt_thickness = 0
self.count_txt_color = count_txt_color
self.count_bg_color = count_bg_color
self.cls_txtdisplay_gap = cls_txtdisplay_gap
self.fontsize = 0.6
# Tracks info
self.track_history = defaultdict(list)
self.track_thickness = track_thickness
self.draw_tracks = draw_tracks
self.track_color = track_color
# Region and line selection
if len(reg_pts) == 2:
# Check if environment supports imshow
self.env_check = check_imshow(warn=True)
# Initialize counting region
if len(self.reg_pts) == 2:
print("Line Counter Initiated.")
self.reg_pts = reg_pts
self.counting_region = LineString(self.reg_pts)
elif len(reg_pts) >= 3:
elif len(self.reg_pts) >= 3:
print("Polygon Counter Initiated.")
self.reg_pts = reg_pts
self.counting_region = Polygon(self.reg_pts)
else:
print("Invalid Region points provided, region_points must be 2 for lines or >= 3 for polygons.")
print("Using Line Counter Now")
self.counting_region = LineString(self.reg_pts)
self.names = classes_names
self.track_color = track_color
self.count_txt_color = count_txt_color
self.count_bg_color = count_bg_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):
"""
This function is designed to move region with mouse events in a real-time video stream.
Handles mouse events for defining and moving the counting region in a real-time video stream.
Args:
event (int): The type of mouse event (e.g., cv2.EVENT_MOUSEMOVE, cv2.EVENT_LBUTTONDOWN, etc.).
x (int): The x-coordinate of the mouse pointer.
y (int): The y-coordinate of the mouse pointer.
flags (int): Any flags associated with the event (e.g., cv2.EVENT_FLAG_CTRLKEY,
cv2.EVENT_FLAG_SHIFTKEY, etc.).
params (dict): Additional parameters you may want to pass to the function.
flags (int): Any associated event flags (e.g., cv2.EVENT_FLAG_CTRLKEY, cv2.EVENT_FLAG_SHIFTKEY, etc.).
params (dict): Additional parameters for the function.
"""
if event == cv2.EVENT_LBUTTONDOWN:
for i, point in enumerate(self.reg_pts):
@ -240,11 +219,11 @@ class ObjectCounter:
else:
labels_dict[str.capitalize(key)] = f"IN {value['IN']} OUT {value['OUT']}"
if labels_dict is not None:
if labels_dict:
self.annotator.display_analytics(self.im0, labels_dict, self.count_txt_color, self.count_bg_color, 10)
def display_frames(self):
"""Display frame."""
"""Displays the current frame with annotations and regions in a window."""
if self.env_check:
cv2.namedWindow(self.window_name)
if len(self.reg_pts) == 4: # only add mouse event If user drawn region
@ -271,4 +250,5 @@ class ObjectCounter:
if __name__ == "__main__":
ObjectCounter()
classes_names = {0: "person", 1: "car"} # example class names
ObjectCounter(classes_names)