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config.py
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config.py
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from pathlib import Path
import sys
file_path = Path(__file__).resolve()
# Get the parent directory of the current file
root_path = file_path.parent
# Add the root path to the sys.path list if it is not already there
if root_path not in sys.path:
sys.path.append(str(root_path))
# Get the relative path of the root directory with respect to the current working directory
ROOT = root_path.relative_to(Path.cwd())
# Source
SOURCES_LIST = ["Image", "Video", "Webcam"]
# DL model config
DETECTION_MODEL_DIR = ROOT / 'weights'/'Detection'
#YOLOv8n = DETECTION_MODEL_DIR / "yolov8n.pt"
#YOLOv8s = DETECTION_MODEL_DIR / "yolov8s.pt"
#YOLOv8m = DETECTION_MODEL_DIR / "yolov8m.pt"
#YOLOv8l = DETECTION_MODEL_DIR / "yolov8l.pt"
#YOLOv8x = DETECTION_MODEL_DIR / "yolov8x.pt"
YOLOV8custom1 = DETECTION_MODEL_DIR /"Rust.pt"
YOLOV8custom2 = DETECTION_MODEL_DIR / "Scratch.pt"
YOLOV8custom3 = DETECTION_MODEL_DIR / "Fabric.pt"
YOLOV8custom4 = DETECTION_MODEL_DIR / "Wepon.pt"
# If You Want To Use This Pre Train Model Then UnComment It and uplode in your weights/detection dir and Use Them All
DETECTION_MODEL_LIST = [
#"yolov8n.pt",
#"yolov8s.pt",
#"yolov8m.pt",
#"yolov8l.pt",
#"yolov8x.pt",
"Rust.pt",
"Scratch.pt",
"Fabric.pt",
"Wepon.pt"
]