Verification of 3D feature extraction

[cazhang]

Hi, I tried to extract 3D features following the three-step pipeline using blip_sam.py file
There are a few questions about the details:

1. In line 53-54 of second_step/blip_sam.py, you have:
   raw_image = cv2.imread(INPUT_IMAGE_PATH)
   raw_image = cv2.resize(raw_image, (512, 512))
   is it correct to go without using: img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)?

2. Once I generated my own point cloud features, how could I verify if the features are consistent to yours? Could you provide a subset of the features (eg. scannet)? I also tried to compute the similarity between point cloud features with text description. However, since the 1408 dim features are the hidden layer output, it is not feasible to compute the similarity with text features which are 256 dim. Do you have any suggestions on this?