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lc2wf's Issues
Google Drive Links
Hi,
Thank you for your very interesting work. Could you please provide the Google Drive links for your data and models? I am having trouble with the Baidu ones.
Thanks!
Jack
Meanning of each key from the provided lineclouds json data
Hi, thanks for the nice work.
I would like to customize my own data, so I would like to ask about the meaning of each key from the provided lineclouds json data , e.g., LC2WF_data/LineCloud_0130_P123/BJ39_500_098051_0020.json.
junc3DList: vertices of the lineclouds
junc2DList: ?
viewList: ?
edgeList: edges of the lineclouds w.r.t vertex indices
label: ?
objGTJunc3D: vertices of GT wireframe
objGTSeg3D: ?
line_idx: edges of GT wireframe w.r.t vertex indices
I summarize the meaning of some keys, and could you answer what junc2DList, viewList, label, objGTSeg3D mean exactly?
Thanks in advance : )
Google Drive links
Hi,
Could you also provide Google Drive link for mvs-image dataset?
Thanks
Test
How is possible to test the pre-trained model on different dataset. I created a a file with this shape (bs=1, n=100, 6) and pass it to the model but received error. what is the input size for this network and how we can interpret it?
The ours_eval.py meets some error in 'To evaluate the model' procedure.
/eval_results$ python ours_eval.py
Traceback (most recent call last):
File "/home/xxxx/PL/LC2WF-master/eval_results/ours_eval.py", line 410, in
dynamicMatchV2()
File "/home/xxxx/PL/LC2WF-master/eval_results/ours_eval.py", line 313, in dynamicMatchV2
Jap3_result = Jap3.get_RPF()
File "/home/xxxx/PL/LC2WF-master/eval_results/metric.py", line 481, in get_RPF
best_F, best_F_confi, best_F_recall,best_F_precision = self.get_best_F()
TypeError: cannot unpack non-iterable int object
How to get json files from obj files (output of Line3D)?
Hi there,
First of all, I want to thank you for this fine piece of work. Secondly, I have my own dataset, I ran line3D over it, and I got the .obj files. I want to ask you how to get those obj files into the json files that you guys are using to read the dataset and perform inference using your model. In the json file, you have got 8 variables:
`
junc3DList: N x 3, 3D junctions in world coord system
edgeList: N x 2 (idx1, idx2), edge of the line cloud, idx1/idx2: index of the junc3DList
junc2DList: N x 2, 2D junctions in a certain image/view.
viewList: N x 1, 2D junction No.i corresponds to the image/view viewList[No.i], viewList is 1-based index. This parameter is come from Line3Dpp
label: N x 1, junction No.i corresponds to the junction No.label[i] of the ground-truth wireframe junction. -1 means this junction belongs to noise.
objGTJunc3D: N x 3, ground-truth junction of the 3D wireframe.
objGTSeg3D: N x 6, ground-truth segment of the 3D wireframe. 6 means xyz of two points
line_idx: ground-truth edge of the 3D wireframe.
`
How can I convert my obj file to such json file?
Thanks in advance
dynamicFpsPoint in ClassifyLineTestDynamicForTest(self, item)
Hello, I am a beginner, I have a simple question to ask: when getting the sample point of the line segment, i.e the variable"dynamicFpsPoint" in test stage , why use the D variable? The variable D uses ground-truth, can't you use ground-truth in the testing phase?Thank you very much!
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