Comments (4)
sngImagry
commented on June 28, 2024
I think it is fine, it is the basic formula of perspective projection: tan(fov/2)=cu/f; where f is the focal length and cu is the range between the origin_x coordinate and the center_x of the image. In the attached line we try to find a similar triangle in which the tan(fov/2)= X/self.z_max.
Therefore: X = self.z_max*cu/f
from translating-images-into-maps.
Thang1703hrsh
commented on June 28, 2024
I have a question, as far as I know calib is a 3x3 matrix with 2 dimensions, but in this line of code calib is a 3-dimensional matrix f, cu = calib[:, 0, 0], calib[ :, 0, 2]
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avishkarsaha
commented on June 28, 2024
The first dimension accounts for the batch, so a calibration matrix per image in the batch.
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Subject: Re: [avishkarsaha/translating-images-into-maps] Question about the calib in bev_transformer.py (Issue #31)
I have a question, as far as I know calib is a 3x3 matrix with 2 dimensions, but in this line of code calib is a 3-dimensional matrix f, cu = calib[:, 0, 0], calib[ :, 0, 2]
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Thang1703hrsh
commented on June 28, 2024
So what is the calib size here, I think it's still 3x3, so when I run to that line I get the error too many indices for tensor of dimension 2
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Related Issues (20)
- can you provide pre-train model HOT 1
- lmdb.Error HOT 1
- How long does it take to train the model?
- Could you provide data.imdb? HOT 2
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- Cannot identify image file <_io.BytesIO object
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- training and validation HOT 1
- Train configuration problem HOT 21
- Release of the checkpoints obtained by training on the whole dataset HOT 1
- Question about dataset configuration HOT 1
- generate nuscenes dataset
- Can you provide a Google Drive download link? HOT 3
- Is this codes really based on what the paper said?
- training datasets request
- Data is no longer available HOT 4
- Problem running Pretrained Weights
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