def keypoint_results(cls_boxes, pred_heatmaps, ref_boxes):
num_classes = cfg.MODEL.NUM_CLASSES
cls_keyps = [[] for _ in range(num_classes)]
person_idx = keypoint_utils.get_person_class_index()
# handle the tubes
assert pred_heatmaps.shape[1] % cfg.KRCNN.NUM_KEYPOINTS == 0, \
'Heatmaps must be 17xT'
time_dim = pred_heatmaps.shape[1] // cfg.KRCNN.NUM_KEYPOINTS
assert time_dim == ref_boxes.shape[-1] // 4, 'Same T for boxes and keypoints'
all_xy_preds = []
for t in range(time_dim):
all_xy_preds.append(keypoint_utils.heatmaps_to_keypoints(
pred_heatmaps[:, t * cfg.KRCNN.NUM_KEYPOINTS:
(t + 1) * cfg.KRCNN.NUM_KEYPOINTS, ...],
ref_boxes[:, t * 4: (t + 1) * 4]))
xy_preds = np.concatenate(all_xy_preds, axis=-1)
# NMS OKS
if cfg.KRCNN.NMS_OKS:
raise NotImplementedError('Handle tubes')
keep = keypoint_utils.nms_oks(xy_preds, ref_boxes, 0.3)
xy_preds = xy_preds[keep, :, :]
ref_boxes = ref_boxes[keep, :]
pred_heatmaps = pred_heatmaps[keep, :, :, :]
cls_boxes[person_idx] = cls_boxes[person_idx][keep, :]
kps = [xy_preds[i] for i in range(xy_preds.shape[0])]
cls_keyps[person_idx] = kps
return cls_keyps
def keypoint_results(cls_boxes, pred_heatmaps, ref_boxes):
num_classes = cfg.MODEL.NUM_CLASSES
cls_keyps = [[] for _ in range(num_classes)]
person_idx = keypoint_utils.get_person_class_index()
xy_preds = keypoint_utils.heatmaps_to_keypoints(pred_heatmaps, ref_boxes)
# NMS OKS
if cfg.KRCNN.NMS_OKS:
keep = keypoint_utils.nms_oks(xy_preds, ref_boxes, 0.3)
xy_preds = xy_preds[keep, :, :]
ref_boxes = ref_boxes[keep, :]
pred_heatmaps = pred_heatmaps[keep, :, :, :]
cls_boxes[person_idx] = cls_boxes[person_idx][keep, :]
kps = [xy_preds[i] for i in range(xy_preds.shape[0])]
cls_keyps[person_idx] = kps
return cls_keyps
def keypoint_results(cls_boxes, pred_heatmaps, ref_boxes):
num_classes = cfg.MODEL.NUM_CLASSES
cls_keyps = [[] for _ in range(num_classes)]
person_idx = keypoint_utils.get_person_class_index()
xy_preds = keypoint_utils.heatmaps_to_keypoints(pred_heatmaps, ref_boxes)
# NMS OKS
if cfg.KRCNN.NMS_OKS:
keep = keypoint_utils.nms_oks(xy_preds, ref_boxes, 0.3)
xy_preds = xy_preds[keep, :, :]
ref_boxes = ref_boxes[keep, :]
pred_heatmaps = pred_heatmaps[keep, :, :, :]
cls_boxes[person_idx] = cls_boxes[person_idx][keep, :]
kps = [xy_preds[i] for i in range(xy_preds.shape[0])]
cls_keyps[person_idx] = kps
return cls_keyps
