Closed AloysiusChua0822 closed 2 months ago
Maybe something like this?
import cv2
import numpy as np
from pathlib import Path
import pyzed.sl as sl
from boxmot import DeepOCSORT
# Initialize the ZED camera
zed = sl.Camera()
init_params = sl.InitParameters()
init_params.camera_resolution = sl.RESOLUTION.HD720
init_params.coordinate_units = sl.UNIT.METER
init_params.depth_mode = sl.DEPTH_MODE.ULTRA
if not zed.is_opened():
print("Opening ZED Camera...")
status = zed.open(init_params)
if status != sl.ERROR_CODE.SUCCESS:
print(f"Error opening ZED camera: {status}")
exit(1)
runtime_params = sl.RuntimeParameters()
mat = sl.Mat()
tracker = DeepOCSORT(
model_weights=Path('osnet_x0_25_msmt17.pt'), # which ReID model to use
device='cuda:0',
fp16=False,
)
while True:
# Grab an image from the ZED camera
if zed.grab(runtime_params) == sl.ERROR_CODE.SUCCESS:
zed.retrieve_image(mat, sl.VIEW.LEFT)
im = mat.get_data()
# substitute by your object detector, output has to be N X (x, y, x, y, conf, cls)
dets = np.array([[144, 212, 578, 480, 0.82, 0],
[425, 281, 576, 472, 0.56, 65]])
# Check if there are any detections
if dets.size > 0:
tracker.update(dets, im) # --> M X (x, y, x, y, id, conf, cls, ind)
else:
dets = np.empty((0, 6)) # empty N X (x, y, x, y, conf, cls)
tracker.update(dets, im) # --> M X (x, y, x, y, id, conf, cls, ind)
tracker.plot_results(im, show_trajectories=True)
# break on pressing q or space
cv2.imshow('BoxMOT detection', im)
key = cv2.waitKey(1) & 0xFF
if key == ord(' ') or key == ord('q'):
break
zed.close()
cv2.destroyAllWindows()
You of course need an object detector as well
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Thankss! It works really well
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Hi, I am currently playing around with a ZED camera, is it possible to intergrate this tracker with ZED camera, highly appreciate on your guidance.