GitLab

Summary:
fixes typo of the docstring.

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1293

Differential Revision: D38737416

Pulled By: bottler

fbshipit-source-id: 3f9da3e97b55c2acd858263de9e85eaee272a98f

Summary: Previously, "psnr" was evaluated between the masked g.t. image and the render. To avoid confusion, "psnr" is now renamed to "psnr_masked".

Reviewed By: bottler

Differential Revision: D38707511

fbshipit-source-id: 8ee881ab1a05453d6692dde9782333a47d8c1234

Summary: Builds for new PyTorch 1.12.1. Drop builds for PyTorch 1.8.0 and 1.8.1.

Reviewed By: kjchalup

Differential Revision: D38658991

fbshipit-source-id: 6192e226c2154cd051eeee98498d9a395cfd6fd5

Summary: Adds additional source views to the eval batches for evaluating many-view models on CO3D Challenge

Reviewed By: bottler

Differential Revision: D38705904

fbshipit-source-id: cf7d00dc7db926fbd1656dd97a729674e9ff5adb

Summary: 0.6.2 and 0.7.0

Reviewed By: kjchalup

Differential Revision: D38659393

fbshipit-source-id: eb99f3fbe381039b391419c878b7bbac4a88d619

Summary: Reports also the PSNR between the unmasked G.T. image and the render.

Reviewed By: bottler

Differential Revision: D38655943

fbshipit-source-id: 1603a2d02116ea1ce037e5530abe1afc65a2ba93

Summary:
**"filename"**: "projects/nerf/nerf/implicit_function.py"
**"warning_type"**: "Incompatible variable type [9]",
**"warning_message"**: " input_skips is declared to have type `Tuple[int]` but is used as type `Tuple[]`.",
**"warning_line"**: 256,
**"fix"**: input_skips: Tuple[int,...] = ()

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1288

Reviewed By: kjchalup

Differential Revision: D38615188

Pulled By: bottler

fbshipit-source-id: a014344dd6cf2125f564f948a3c905ceb84cf994

Summary: new version number

Reviewed By: patricklabatut

Differential Revision: D38426307

fbshipit-source-id: 60c6ab53bb46bdece6f20c8fed14f2351f1c606e

Summary: This makes the new volumes tutorial work on google colab.

Reviewed By: kjchalup

Differential Revision: D38501906

fbshipit-source-id: a606a357e929dae903dc4d9067bd1519f05b1458

Summary: need to pip install visdom in new volumes tutorial.

Reviewed By: kjchalup

Differential Revision: D38501905

fbshipit-source-id: 534bf097e41f05b3389e9420e6dd2b61a4517861

Summary: add link in main readme

Reviewed By: kjchalup

Differential Revision: D38560053

fbshipit-source-id: 0814febb67d0580394cfa2664e49e31ff7254bd4

Summary: Updates for recent replaceables.

Reviewed By: kjchalup

Differential Revision: D38437370

fbshipit-source-id: 00d600aa451e5849ba48107cd7a4319e9fc8549f

Summary: Linear followed by exponential LR progression. Needed for making Blender scenes converge.

Reviewed By: kjchalup

Differential Revision: D38557007

fbshipit-source-id: ad630dbc5b8fabcb33eeb5bdeed5e4f31360bac2

Summary: We now expect pytorch 1.12

Reviewed By: patricklabatut

Differential Revision: D38425758

fbshipit-source-id: a22e672fcb0dc18f7d6424323d9cc6aaf5fcb4c6

Summary:
LLFF (and most/all non-synth datasets) will have no background/foreground distinction. Add support for data with no fg mask.

Also, we had a bug in stats loading, like this:
  * Load stats
  * One of the stats has a history of length 0
  * That's fine, e.g. maybe it's fg_error but the dataset has no notion of fg/bg. So leave it as len 0
  * Check whether all the stats have the same history length as an arbitrarily chosen "reference-stat"
  * Ooops the reference-stat happened to be the stat with length 0
  * assert (legit_stat_len == reference_stat_len (=0)) ---> failed assert

Also some minor fixes (from Jeremy's other diff) to support LLFF

Reviewed By: davnov134

Differential Revision: D38475272

fbshipit-source-id: 5b35ac86d1d5239759f537621f41a3aa4eb3bd68

Differential Revision: D38529199

fbshipit-source-id: 4bc0574493b60f13e08d9ea7bded862778b3d171

Summary: Adding the implicitron tutorials to the website

Reviewed By: kjchalup

Differential Revision: D38508673

fbshipit-source-id: b38d43174acf6e1355b14bf6d58513f6696e7fa0

Summary: In a multisequence (fewview) scenario, it does not make sense to use all cameras for evaluating the difficulty as they come from different scenes. Using only this batch’s source (known) cameras instead.

Reviewed By: bottler

Differential Revision: D38491070

fbshipit-source-id: d6312d8fbb125b28a33db9f53d4215bcd1ca28a8

Summary:
Request in https://github.com/facebookresearch/pytorch3d/issues/1233 for option to disable CUDA build.

Also option to disable binary build completely. This could be useful e.g. in the config tutorial where we need a small python-only part of pytorch3d.

Reviewed By: kjchalup

Differential Revision: D38458624

fbshipit-source-id: 421a0b1cc31306d7e322d3e743e30a7533d7f034

Summary:
simply fixing a typo in _ls function

Pull Request resolved: https://github.com/facebookresearch/pytorch3d/pull/1281

Reviewed By: patricklabatut

Differential Revision: D38457259

Pulled By: bottler

fbshipit-source-id: 5204a57cb4d1fe1c804d8af3301b8ea2945443e8

Summary:
Misc fixes.

- most important: the mac image is gone so switch to a newer one.
- torch.concat is new; was used accidentally
- remove lpips from testing in meta.yaml as it is breaking the conda test. Better to leave the relevant tests failing in OSS.
- TypedDict usage is breaking implicitron on Python 3.7.

Reviewed By: patricklabatut

Differential Revision: D38458164

fbshipit-source-id: b16c26453a743b9a771e2a6787b9a4d2a52e41c2

Summary: This field is specific to one purpose.

Reviewed By: patricklabatut

Differential Revision: D38424891

fbshipit-source-id: e017304497012430c30e436da7052b9ad6fc7614

Summary: remove n_instances==0 special case, standardise args for GlobalEncoderBase's forward.

Reviewed By: shapovalov

Differential Revision: D37817340

fbshipit-source-id: 0aac5fbc7c336d09be9d412cffff5712bda27290

Summary: One way to tidy the installation so we don't install files in site-packages/projects. Fixes https://github.com/facebookresearch/pytorch3d/issues/1279

Reviewed By: shapovalov, davnov134

Differential Revision: D38426772

fbshipit-source-id: ac1a54fbf230adb53904701e1f38bf9567f647ce

Differential Revision: D38448021

fbshipit-source-id: 966708035115b4870a74f0ca0bbf8ea88b853527

Summary: new

Reviewed By: kjchalup

Differential Revision: D38425731

fbshipit-source-id: 0fd8f524df6b29ceb8c7c9a674022412c1efc3b5

Summary: new

Reviewed By: kjchalup

Differential Revision: D38425739

fbshipit-source-id: 23e7a1dd01c034b231511acecf40ea0deb9a067f

Summary: ... see title

Reviewed By: bottler

Differential Revision: D38430103

fbshipit-source-id: fd0696da82c367b0f4d9c9d92c0cba0230834137

Summary: continued - avoid duplicate inputs

Reviewed By: davnov134

Differential Revision: D38248827

fbshipit-source-id: 91ed398e304496a936f66e7a70ab3d189eeb5c70

Summary: continued - don't duplicate inputs

Reviewed By: kjchalup

Differential Revision: D38248829

fbshipit-source-id: 2d56418ecbec9cc597c3cf0c122199e274661516

Summary: Don't copy from one part of config to another, rather do the copy within GenericModel.

Reviewed By: davnov134

Differential Revision: D38248828

fbshipit-source-id: ff8af985c37ea1f7df9e0aa0a45a58df34c3f893

Summary: Made the config system call open_dict when it calls the tweak function.

Reviewed By: shapovalov

Differential Revision: D38315334

fbshipit-source-id: 5924a92d8d0bf399bbf3788247f81fc990e265e7

Summary:
Stats are logically connected to the training loop, not to the model. Hence, moving to the training loop.

Also removing resume_epoch from OptimizerFactory in favor of a single place - ModelFactory. This removes the need for config consistency checks etc.

Reviewed By: kjchalup

Differential Revision: D38313475

fbshipit-source-id: a1d188a63e28459df381ff98ad8acdcdb14887b7

Summary: Blender data doesn't have depths or crops.

Reviewed By: shapovalov

Differential Revision: D38345583

fbshipit-source-id: a19300daf666bbfd799d0038aeefa14641c559d7

Summary: Simple DataLoaderMapProvider instance

Reviewed By: davnov134

Differential Revision: D38326719

fbshipit-source-id: 58556833e76fae5790d25a59bea0aac4ce046bf1

Summary: fix to the D38275943 (https://github.com/facebookresearch/pytorch3d/commit/597e0259dc43bf4903e9c99f5d61410c1ad75b78).

Reviewed By: bottler

Differential Revision: D38355683

fbshipit-source-id: f326f45279fafa57f24b9211ebd3fda18a518937

Summary: Before this diff, train_stats.py would not be created by default, EXCEPT when resuming training. This makes them appear from start.

Reviewed By: shapovalov

Differential Revision: D38320341

fbshipit-source-id: 8ea5b99ec81c377ae129f58e78dc2eaff94821ad

Summary: Remove the dataset's need to provide the task type.

Reviewed By: davnov134, kjchalup

Differential Revision: D38314000

fbshipit-source-id: 3805d885b5d4528abdc78c0da03247edb9abf3f7

Summary:
Added _NEED_CONTROL
 to JsonIndexDatasetMapProviderV2 and made dataset_tweak_args use it.

Reviewed By: bottler

Differential Revision: D38313914

fbshipit-source-id: 529847571065dfba995b609a66737bd91e002cfe

Summary: Only import it if you ask for it.

Reviewed By: kjchalup

Differential Revision: D38327167

fbshipit-source-id: 3f05231f26eda582a63afc71b669996342b0c6f9