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                                            Jia Zheng

SUNCG Dataset gone offline

The SUNCG dataset may have [a piracy problem](https://futurism.com/tech-suing-facebook-princeton-data).

Issues of evaluate code

I have the same issue, is anyone able to solve it?

Issues of evaluate code

Hi, @DRAhmadFaraz, I have got the predictions of PlaneNet, but the per-pixel recall seems to be lower than that in the paper. Can you reproduce the evaluation in the paper?...

Issues of evaluate code

@jcliu0428 Run with command line: `python evaluate.py --dataFolder=*** --numImages=760 --methods=2000000 --numOutputPlanes=10`

Issues of evaluate code

@jcliu0428 You don't need to modify anything. Make sure the `methods=2000000`, `0` will disable the corresponding method.

@Qtodd you can find the pixel recall [here](https://github.com/art-programmer/PlaneNet/blob/master/evaluate.py#L629) and plane recall [here](https://github.com/art-programmer/PlaneNet/blob/master/evaluate.py#L632).

Dataset download fails

Please also refer to #25 if you have the same question.

Only about 77% of bounding boxes labels can be inferred

I am currently involved in another project. I will try to add this feature in my spare time.

Ceiling lamps are sofas in scene 00000

This may be a big issue. We directly adopt the semantic information from the raw database and map it to the NYUv2 label set. I will check this issue.