You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
42 lines
1.6 KiB
42 lines
1.6 KiB
2 years ago
|
from ultralytics.tracker import BYTETracker, BOTSORT
|
||
|
|
from ultralytics.yolo.utils.checks import check_requirements, check_yaml
|
||
|
|
from ultralytics.yolo.utils import IterableSimpleNamespace, yaml_load
|
||
|
|
import torch
|
||
|
|
|
||
|
|
TRACKER_MAP = {"bytetrack": BYTETracker, "botsort": BOTSORT}
|
||
|
|
check_requirements('lap') # for linear_assignment
|
||
|
|
|
||
|
|
|
||
|
|
def on_predict_start(predictor):
|
||
|
|
tracker = check_yaml(predictor.args.tracker)
|
||
|
|
cfg = IterableSimpleNamespace(**yaml_load(tracker))
|
||
|
|
assert cfg.tracker_type in ["bytetrack", "botsort"], \
|
||
|
|
f"Only support 'bytetrack' and 'botsort' for now, but got '{cfg.tracker_type}'"
|
||
|
|
trackers = []
|
||
|
|
for _ in range(predictor.dataset.bs):
|
||
|
|
tracker = TRACKER_MAP[cfg.tracker_type](args=cfg, frame_rate=30)
|
||
|
|
trackers.append(tracker)
|
||
|
|
predictor.trackers = trackers
|
||
|
|
|
||
|
|
|
||
|
|
def on_predict_postprocess_end(predictor):
|
||
|
|
bs = predictor.dataset.bs
|
||
|
|
im0s = predictor.batch[2]
|
||
|
|
im0s = im0s if isinstance(im0s, list) else [im0s]
|
||
|
|
for i in range(bs):
|
||
|
|
det = predictor.results[i].boxes.cpu().numpy()
|
||
|
|
if len(det) == 0:
|
||
|
|
continue
|
||
|
|
tracks = predictor.trackers[i].update(det, im0s[i])
|
||
|
|
if len(tracks) == 0:
|
||
|
|
continue
|
||
|
|
predictor.results[i].update(boxes=torch.as_tensor(tracks[:, :-1]))
|
||
|
|
if predictor.results[i].masks is not None:
|
||
|
|
idx = tracks[:, -1].tolist()
|
||
|
|
predictor.results[i].masks = predictor.results[i].masks[idx]
|
||
|
|
|
||
|
|
|
||
|
|
def register_tracker(model):
|
||
|
|
model.add_callback("on_predict_start", on_predict_start)
|
||
|
|
model.add_callback("on_predict_postprocess_end", on_predict_postprocess_end)
|