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Multi tracking is now possible!!! #284

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Merged
mikel-brostrom merged 1 commit into from
Apr 6, 2022
Merged

Multi tracking is now possible!!! #284

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45 changes: 32 additions & 13 deletions track.py
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Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,15 @@
sys.path.append(str(ROOT)) # add ROOT to PATH
ROOT = Path(os.path.relpath(ROOT, Path.cwd())) # relative

# It creates an object of deepsort type
def create_DeepSort_object(cfg, deep_sort_model):
my_deepsort = DeepSort(deep_sort_model,
max_dist=cfg.DEEPSORT.MAX_DIST,
max_iou_distance=cfg.DEEPSORT.MAX_IOU_DISTANCE,
max_age=cfg.DEEPSORT.MAX_AGE, n_init=cfg.DEEPSORT.N_INIT, nn_budget=cfg.DEEPSORT.NN_BUDGET,
use_cuda=True)
return my_deepsort


def detect(opt):
out, source, yolo_model, deep_sort_model, show_vid, save_vid, save_txt, imgsz, evaluate, half, project, name, exist_ok= \
Expand All @@ -44,14 +53,7 @@ def detect(opt):
webcam = source == '0' or source.startswith(
'rtsp') or source.startswith('http') or source.endswith('.txt')

# initialize deepsort
cfg = get_config()
cfg.merge_from_file(opt.config_deepsort)
deepsort = DeepSort(deep_sort_model,
max_dist=cfg.DEEPSORT.MAX_DIST,
max_iou_distance=cfg.DEEPSORT.MAX_IOU_DISTANCE,
max_age=cfg.DEEPSORT.MAX_AGE, n_init=cfg.DEEPSORT.N_INIT, nn_budget=cfg.DEEPSORT.NN_BUDGET,
use_cuda=True)


# Initialize
device = select_device(opt.device)
Expand Down Expand Up @@ -96,7 +98,22 @@ def detect(opt):
dataset = LoadImages(source, img_size=imgsz, stride=stride, auto=pt and not jit)
bs = 1 # batch_size
vid_path, vid_writer = [None] * bs, [None] * bs



# initialize deepsort
cfg = get_config()
cfg.merge_from_file(opt.config_deepsort)

# Create as many trackers as there are polygons
deepsort_list = []
for i in range(bs):
deepsort_list.append(create_DeepSort_object(cfg,deep_sort_model))

# Initialize values
xywhs = [None]*bs
confs = [None]*bs
outputs = [None]*bs

# Get names and colors
names = model.module.names if hasattr(model, 'module') else model.names

Expand Down Expand Up @@ -158,13 +175,14 @@ def detect(opt):

# pass detections to deepsort
t4 = time_sync()
outputs = deepsort.update(xywhs.cpu(), confs.cpu(), clss.cpu(), im0)
outputs[i] = deepsort_list[i].update(xywhs.cpu(), confs.cpu(), clss.cpu(), im0)
#deepsort.update(xywhs.cpu(), confs.cpu(), clss.cpu(), im0)
t5 = time_sync()
dt[3] += t5 - t4

# draw boxes for visualization
if len(outputs) > 0:
for j, (output, conf) in enumerate(zip(outputs, confs)):
if len(outputs[i]) > 0:
for j, (output, conf) in enumerate(zip(outputs[i], confs)):

bboxes = output[0:4]
id = output[4]
Expand All @@ -188,12 +206,13 @@ def detect(opt):
LOGGER.info(f'{s}Done. YOLO:({t3 - t2:.3f}s), DeepSort:({t5 - t4:.3f}s)')

else:
deepsort.increment_ages()
deepsort_list[i].increment_ages()
LOGGER.info('No detections')

# Stream results
im0 = annotator.result()
if show_vid:
cv2.namedWindow(str(p), cv2.WINDOW_NORMAL)
cv2.imshow(str(p), im0)
if cv2.waitKey(1) == ord('q'): # q to quit
raise StopIteration
Expand Down