colab is working but i get an error on my local notebook

[zuhalormanoglu]

Hello, when I try to run this cell:

from feat.detector import Detector


detector = Detector(verbose=True)

detector

I get a runtime error that looks like this:

Cell In[6], line 4
      1 from feat.detector import Detector
----> 4 detector = Detector(verbose=True)
      6 detector

File ~\miniconda3\lib\site-packages\feat\detector.py:121, in Detector.__init__(self, face_model, landmark_model, au_model, emotion_model, facepose_model, device, n_jobs, verbose, **kwargs)
    116 # Verify model names and download if necessary
    117 face, landmark, au, emotion, facepose = get_pretrained_models(
    118     face_model, landmark_model, au_model, emotion_model, facepose_model, verbose
    119 )
--> 121 self._init_detectors(
    122     face,
    123     landmark,
    124     au,
    125     emotion,
    126     facepose,
    127     openface_2d_landmark_columns,
    128     **kwargs,
    129 )

File ~\miniconda3\lib\site-packages\feat\detector.py:249, in Detector._init_detectors(self, face, landmark, au, emotion, facepose, openface_2d_landmark_columns, **kwargs)
    247 self.facepose_detector = fetch_model("facepose_model", facepose)
    248 if "img2pose" in facepose:
--> 249     self.facepose_detector = self.facepose_detector(
    250         constrained="img2pose-c" == face,
    251         device=self.device,
    252         **facepose_model_kwargs,
    253     )
    254 else:
    255     self.facepose_detector = self.facepose_detector(**facepose_model_kwargs)

File ~\miniconda3\lib\site-packages\feat\facepose_detectors\img2pose\img2pose_test.py:54, in Img2Pose.__init__(self, device, constrained, detection_threshold, nms_threshold, nms_inclusion_threshold, top_k, keep_top_k, BORDER_SIZE, DEPTH, MAX_SIZE, MIN_SIZE, RETURN_DIM, POSE_MEAN, POSE_STDDEV, THREED_FACE_MODEL, **kwargs)
     51 pose_stddev = np.load(POSE_STDDEV, allow_pickle=True)
     52 threed_points = np.load(THREED_FACE_MODEL, allow_pickle=True)
---> 54 self.model = img2poseModel(
     55     DEPTH,
     56     MIN_SIZE,
     57     MAX_SIZE,
     58     pose_mean=pose_mean,
     59     pose_stddev=pose_stddev,
     60     threed_68_points=threed_points,
     61     device=self.device,
     62     **kwargs,
     63 )
     65 # Load the constrained model
     66 model_file = "img2pose_v1_ft_300w_lp.pth" if constrained else "img2pose_v1.pth"

File ~\miniconda3\lib\site-packages\feat\facepose_detectors\img2pose\img2pose_model.py:60, in img2poseModel.__init__(self, depth, min_size, max_size, device, pose_mean, pose_stddev, threed_68_points, rpn_pre_nms_top_n_test, rpn_post_nms_top_n_test, bbox_x_factor, bbox_y_factor, expand_forehead)
     57     pose_stddev = torch.tensor(pose_stddev)
     59 if threed_68_points is not None:
---> 60     threed_68_points = torch.tensor(threed_68_points)
     62 # create the feature pyramid network
     63 self.fpn_model = FasterDoFRCNN(
     64     backbone,
     65     2,
   (...)
     75     expand_forehead=expand_forehead,
     76 )

RuntimeError: Could not infer dtype of numpy.float32

```
It works just fine on google colab but I want to use it on my PC. I don't have much experience in coding in general, sorry if it is an obvious thing but why do I get this error? Thanks in advance.
Z