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label=False in detect-track and fix weights download every time in detect.py #45

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label=False in detect-track and fix weights download every time in detect.py #45

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2 changes: 1 addition & 1 deletion detect.py
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Original file line number Diff line number Diff line change
Expand Up @@ -204,7 +204,7 @@ def detect(save_img=False):
print(opt)

#check_requirements(exclude=('pycocotools', 'thop'))
if opt.download and not os.path.exists(str(opt.weights)):
if opt.download and not os.path.exists("".join(opt.weights)):
print('Model weights not found. Attempting to download now...')
download('./')

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18 changes: 10 additions & 8 deletions detect_and_track.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@

#............................... Bounding Boxes Drawing ............................
"""Function to Draw Bounding boxes"""
def draw_boxes(img, bbox, identities=None, categories=None, names=None, save_with_object_id=False, path=None,offset=(0, 0)):
def draw_boxes(img, bbox, identities=None, categories=None, names=None, save_with_object_id=False, path=None, offset=(0, 0), is_label=True):
for i, box in enumerate(bbox):
x1, y1, x2, y2 = [int(i) for i in box]
x1 += offset[0]
Expand All @@ -35,12 +35,14 @@ def draw_boxes(img, bbox, identities=None, categories=None, names=None, save_wit
cat = int(categories[i]) if categories is not None else 0
id = int(identities[i]) if identities is not None else 0
data = (int((box[0]+box[2])/2),(int((box[1]+box[3])/2)))
label = str(id) + ":"+ names[cat]
(w, h), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.6, 1)
cv2.rectangle(img, (x1, y1), (x2, y2), (255,0,20), 2)
cv2.rectangle(img, (x1, y1 - 20), (x1 + w, y1), (255,144,30), -1)
cv2.putText(img, label, (x1, y1 - 5),cv2.FONT_HERSHEY_SIMPLEX,
0.6, [255, 255, 255], 1)
color = [random.randint(0, 255) for _ in range(3)]
if is_label:
label = str(id) + ":"+ names[cat]
(w, h), _ = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 0.6, 1)
cv2.rectangle(img, (x1, y1 - 20), (x1 + w, y1), color, -1)
cv2.putText(img, label, (x1, y1 - 5),cv2.FONT_HERSHEY_SIMPLEX,
0.6, [255, 255, 255], 1)
cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
# cv2.circle(img, data, 6, color,-1) #centroid of box
txt_str = ""
if save_with_object_id:
Expand Down Expand Up @@ -234,7 +236,7 @@ def detect(save_img=False):
bbox_xyxy = tracked_dets[:,:4]
identities = tracked_dets[:, 8]
categories = tracked_dets[:, 4]
draw_boxes(im0, bbox_xyxy, identities, categories, names, save_with_object_id, txt_path)
draw_boxes(im0, bbox_xyxy, identities, categories, names, save_with_object_id, txt_path, is_label=True)
else: #SORT should be updated even with no detections
tracked_dets = sort_tracker.update()
#........................................................
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