fedeizzo / camera-pose-estimation

A Deep Learning Approach to Camera Pose Estimation

Hi, my name is Federico Izzo.

I'm a Linux world enthusiast.

Currently working as Software Developer Engineer for Datadog.

Machine learning projects:

• camera-pose-estimation
• domain adaptation
• parallel PSO

System programming projects:

• file-analyzer
• wayland-inkscape-helper

Full stack projects:

• EPOC

camera-pose-estimation's Issues

Pretrained model

Hello author:

Could you release the pre-trained model to test in the webserver:app?

Best regards.

ERROR: Configuration file does not exist.

hi,
the log is shown when we cover our video to the dataset with
python video_to_dataset.py -v video97.mp4 -o images -f 3 -c dataset.db -q high -t sparse.

what I can do for this?

CRS Alignment

Hi,
I am relatively new to working with Colmap, and I'm encountering an issue aligning the Coordinate Reference System (CRS) of my Colmap data with the real-world coordinates in my dataset. I was hoping you could provide some guidance on the procedure you used for CRS alignment.

In the script, you've mentioned four images with comments as follows:

"meta porta corridoio lavagne fine: 0870
porta anti incendio corridoio per andare verso il corridoio delle lavagne: 0538
spigolo per girare a sinistra verso tavoloni: 1366
632 centro angolo lavagne
A = '0538.png'
B = '0870.png'
C = '1366.png'"

Are these images related to and containing the three points that represent the same locations in both CRSs? Could you please explain the values in the provided array under cadatastral_crs?
cadatastral_crs = np.array([
[690, 430, 1715],
[280, 895, 1050],
[0, 0, 0]])

Do these values correspond to the real-world coordinates of the three points in images A, B, and C?
Additionally, I'm curious about how you obtained these pixel values and where you established the origin in the real world for this alignment process.

Reference for MeNet

Hi, is there a reference or citation for the mentioned MeNet? Thanks for publishing your work.