ultralytics 8.1.0 YOLOv8 Oriented Bounding Box (OBB) release (#7463)

Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com>
Co-authored-by: Yakuho <Yakuho@foxmail.com>
Co-authored-by: Oran <75175510+Acenath@users.noreply.github.com>
This commit is contained in:
Glenn Jocher 2024-01-10 10:57:40 +01:00 committed by GitHub
parent 54e61963c8
commit 808984c6cf
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95 changed files with 787 additions and 752 deletions

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@ -240,7 +240,7 @@ char* YOLO_V8::TensorProcess(clock_t& starttime_1, cv::Mat& iImg, N& blob, std::
}
//Note:
//ultralytics add transpose operator to the output of yolov8 model.which make yolov8/v5/v7 has same shape
//https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt
//https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt
//rowData = rowData.t();
float* data = (float*)rawData.data;

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@ -35,7 +35,31 @@ counting_regions = [
def mouse_callback(event, x, y, flags, param):
"""Mouse call back event."""
"""
Handles mouse events for region manipulation.
Parameters:
event (int): The mouse event type (e.g., cv2.EVENT_LBUTTONDOWN).
x (int): The x-coordinate of the mouse pointer.
y (int): The y-coordinate of the mouse pointer.
flags (int): Additional flags passed by OpenCV.
param: Additional parameters passed to the callback (not used in this function).
Global Variables:
current_region (dict): A dictionary representing the current selected region.
Mouse Events:
- LBUTTONDOWN: Initiates dragging for the region containing the clicked point.
- MOUSEMOVE: Moves the selected region if dragging is active.
- LBUTTONUP: Ends dragging for the selected region.
Notes:
- This function is intended to be used as a callback for OpenCV mouse events.
- Requires the existence of the 'counting_regions' list and the 'Polygon' class.
Example:
>>> cv2.setMouseCallback(window_name, mouse_callback)
"""
global current_region
# Mouse left button down event

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@ -107,7 +107,7 @@
"output_type": "stream",
"name": "stdout",
"text": [
"Downloading https://github.com/ultralytics/assets/releases/download/v0.0.0/yolov8n.pt to 'yolov8n.pt'...\n",
"Downloading https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt to 'yolov8n.pt'...\n",
"100% 6.23M/6.23M [00:00<00:00, 77.2MB/s]\n",
"Ultralytics YOLOv8.0.145 🚀 Python-3.10.6 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
"YOLOv8n summary (fused): 168 layers, 3151904 parameters, 0 gradients\n",