No such file or directory

[Yumekawa-chan]

After completing the train, we can run python test.py --exp_name PCN_16384 --ckpt_path checkpoint/best_l1_cd.pth --batch_size 32 --num_workers 8 After executing FileNotFoundError: [Errno 2] No such file or directory: '/data/PCN/test.list'. I got an error "FileNotFoundError: [Errno 2] No such file or directory: '/data/PCN/test.list'. Can someone please help me?

[Ting234]

Maybe you should download PCN.zip and extract to the data/PCN

[Kir1s4me]

After completing the train, we can run python test.py --exp_name PCN_16384 --ckpt_path checkpoint/best_l1_cd.pth --batch_size 32 --num_workers 8 After executing FileNotFoundError: [Errno 2] No such file or directory: '/data/PCN/test.list'. I got an error "FileNotFoundError: [Errno 2] No such file or directory: '/data/PCN/test.list'. Can someone please help me?

I have the same problem，have you solved it？

[MarioCavero]

After completing the train, we can run python test.py --exp_name PCN_16384 --ckpt_path checkpoint/best_l1_cd.pth --batch_size 32 --num_workers 8 After executing FileNotFoundError: [Errno 2] No such file or directory: '/data/PCN/test.list'. I got an error "FileNotFoundError: [Errno 2] No such file or directory: '/data/PCN/test.list'. Can someone please help me?

The files should exist inside the PCN downloadable dataset! Both train and test.list files contain the data.

~/Downloads/PCN$ ls train/partial/
02691156  02933112  02958343  03001627  03636649  04256520  04379243  04530566
~/Downloads/PCN$ ls train/complete/
02691156  02933112  02958343  03001627  03636649  04256520  04379243  04530566
~/Downloads/PCN$ ls test/
complete/ partial/  
~/Downloads/PCN$ ls test/partial/
02691156  02933112  02958343  03001627  03636649  04256520  04379243  04530566
~/Downloads/PCN$ ls test/complete/
02691156  02933112  02958343  03001627  03636649  04256520  04379243  04530566

These correspond to the elements in the files. For example, for the specific object with the id 04530566, which is the Boat or Vessel.

:~/Downloads/PCN$ cat train.list | grep 04530566 | head
04530566/786f18c5f99f7006b1d1509c24a9f631
04530566/df0f90c6abbfeaa0255deca950ace5f9
04530566/6a541c64083d2bb9c5408f4f799fe72
04530566/eca25540e280ac1c2d1e53cffa2132f6
04530566/ca2e4bd483c006a5c9f3294669fff77d
04530566/955507bbb3aa0b97b1bb46d2556ba67d
04530566/3c785a132fbf152249d508bbe117085
04530566/f1800fb3a9873af1e64f09105f9c8a56
04530566/355f5aa01c79fe1458a8952c93ff9829
04530566/7d7fe630419cb3e3ff217e1345ac0f8
~/Downloads/PCN$ cat test.list | grep 04530566 | head
04530566/176c629c93b5a1f73cf0b8b75857cc24
04530566/8ff4c7162259b1d5cf816caaec167fbf
04530566/93304640e3a2a60d611cd70ef25f5235
04530566/2ceb5d34a15b73393302308333adc4be
04530566/263eeac4bcfca21285f7a3de54751f1b
04530566/8f9e62cf323515c4ca380c8375c4cdb6
04530566/41d1856d2e24a738b4624ce09086ad45
04530566/5456c7546e3f3c3d9c5408f4f799fe72
04530566/283dc6c755398547657a96a9bceb8713
04530566/587793fcbae6a6fbf5abe4b4be4c3d4b

From the different objects inside: dataset/shapenet.py:

        # self.cat2id = {
        #     # seen categories
        #     "airplane"  : "02691156",  # plane
        #     "cabinet"   : "02933112",  # dresser
        #     "car"       : "02958343",
        #     "chair"     : "03001627",
        #     "lamp"      : "03636649",
        #     "sofa"      : "04256520",
        #     "table"     : "04379243",
        #     "vessel"    : "04530566",  # boat

        #     # alis for some seen categories
        #     "boat"      : "04530566",  # vessel
        #     "couch"     : "04256520",  # sofa
        #     "dresser"   : "02933112",  # cabinet
        #     "airplane"  : "02691156",  # airplane
        #     "watercraft": "04530566",  # boat

        #     # unseen categories
        #     "bus"       : "02924116",
        #     "bed"       : "02818832",
        #     "bookshelf" : "02871439",
        #     "bench"     : "02828884",
        #     "guitar"    : "03467517",
        #     "motorbike" : "03790512",
        #     "skateboard": "04225987",
        #     "pistol"    : "03948459",
        # }

If you used your own dataset, then you should create those files while or after the creation of the dataset and its folder structure! In simmple words, something like:

Boat/Boat1
Boat/Boat2

I hope it helps! @Yumekawa-chan @Kir1s4me

[Yumekawa-chan]

Thank you!