guoqing bakeup

tracking/dotrack/track_back.py

@@ -10,6 +10,10 @@ from scipy.spatial.distance import cdist
 from sklearn.decomposition import PCA
 from .dotracks import MoveState, Track
 
+from pathlib import Path
+curpath = Path(__file__).resolve().parents[0]
+curpath = Path(curpath)
+parpath = curpath.parent
 
 class backTrack(Track):
     # boxes: [x1, y1, x2, y2, track_id, score, cls, frame_index, box_index]
@@ -93,9 +97,9 @@ class backTrack(Track):
             maxbox_iou, minbox_iou：track中最大、最小 box 和boxes流的iou，二者差值越小，越接近 1，表明track的运动型越小。
             incartrates: 各box和incart的iou时序，由小变大，反应的是置入过程，由大变小，反应的是取出过程
         '''
-        incart = cv2.imread("./shopcart/cart_tempt/incart.png", cv2.IMREAD_GRAYSCALE)
-        outcart = cv2.imread("./shopcart/cart_tempt/outcart.png", cv2.IMREAD_GRAYSCALE)
-        cartboarder = cv2.imread("./shopcart/cart_tempt/cartboarder.png", cv2.IMREAD_GRAYSCALE)
+        incart = cv2.imread(str(parpath/"shopcart/cart_tempt/incart.png"), cv2.IMREAD_GRAYSCALE)
+        outcart = cv2.imread(str(parpath/"shopcart/cart_tempt/outcart.png"), cv2.IMREAD_GRAYSCALE)
+        cartboarder = cv2.imread(str(parpath/"shopcart/cart_tempt/cartboarder.png"), cv2.IMREAD_GRAYSCALE)
         
         incartrates = []
         temp = np.zeros(incart.shape, np.uint8)