Method post_process

tutorials/fairmot/tracker.py:206–214

(self, dets, meta)

        self.kalman_filter = KalmanFilter()

    def post_process(self, dets, meta):
        dets = dets.detach().cpu().numpy()
        dets = dets.reshape(1, -1, dets.shape[2])
        dets = ctdet_post_process(
            dets.copy(), [meta['c']], [meta['s']],
            meta['out_height'], meta['out_width'], self.opt.num_classes)
        for j in range(1, self.opt.num_classes + 1):
            dets[0][j] = np.array(dets[0][j], dtype=np.float32).reshape(-1, 5)
        return dets[0]

    def merge_outputs(self, detections):
        results = {}