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Jiading Fang
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add define
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- .gitattributes +2 -0
- .gitignore +8 -0
- .gitmodules +3 -0
- LICENSE.md +409 -0
- Makefile +56 -0
- configs/overfit/ddad_tiny.yaml +31 -0
- configs/overfit/generic.yaml +27 -0
- configs/overfit/kitti_tiny.yaml +31 -0
- configs/papers/define/scannet_temporal_test.yaml +79 -0
- configs/papers/define/scannet_temporal_test_context_1.yaml +79 -0
- configs/papers/depthformer/inference_kitti.yaml +31 -0
- configs/papers/fsm/inference_ddad.yaml +19 -0
- configs/papers/packnet/inference_packnet.yaml +20 -0
- configs/papers/packnet/inference_resnet.yaml +20 -0
- configs/papers/selfcalib/ds_euroc.yaml +40 -0
- configs/papers/selfcalib/eucm_euroc.yaml +40 -0
- configs/papers/selfcalib/ucm_euroc.yaml +40 -0
- configs/papers/selfcalib/ucm_kitti.yaml +44 -0
- configs/recipes/checkpoint.yaml +8 -0
- configs/recipes/datasets/ddad.yaml +32 -0
- configs/recipes/datasets/ddad_tiny.yaml +32 -0
- configs/recipes/datasets/euroc.yaml +30 -0
- configs/recipes/datasets/generic.yaml +30 -0
- configs/recipes/datasets/kitti.yaml +31 -0
- configs/recipes/datasets/kitti_tiny.yaml +32 -0
- configs/recipes/datasets/vkitti2.yaml +16 -0
- configs/recipes/evaluation/depth.yaml +21 -0
- configs/recipes/losses/reprojection.yaml +9 -0
- configs/recipes/losses/smoothness.yaml +5 -0
- configs/recipes/losses/supervised_depth.yaml +40 -0
- configs/recipes/networks/conv_pose_net.yaml +5 -0
- configs/recipes/networks/focal_depth_res_net.yaml +12 -0
- configs/recipes/networks/mono_depth_res_net.yaml +10 -0
- configs/recipes/networks/multi_depth_res_net.yaml +17 -0
- configs/recipes/networks/packnet.yaml +10 -0
- configs/recipes/networks/pose_net.yaml +5 -0
- configs/recipes/networks/transformer.yaml +12 -0
- configs/recipes/optimizers.yaml +7 -0
- configs/recipes/save.yaml +5 -0
- configs/recipes/wandb.yaml +5 -0
- configs/recipes/wrapper.yaml +10 -0
- data/generic/scene1/15616458296936490.jpg +0 -0
- data/generic/scene1/15616458297936490.jpg +0 -0
- data/generic/scene1/15616458298936492.jpg +0 -0
- data/generic/scene1/15616458299936482.jpg +0 -0
- data/generic/scene1/15616458300936480.jpg +0 -0
- data/masks/ddad/01.png +3 -0
- data/masks/ddad/05.png +3 -0
- data/masks/ddad/06.png +3 -0
- data/masks/ddad/07.png +3 -0
.gitattributes
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LICENSE.md
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199 |
+
b. Other rights.
|
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|
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|
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|
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3. If requested by the Licensor, You must remove any of the
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4. If You Share Adapted Material You produce, the Adapter's
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Section 4 -- Sui Generis Database Rights.
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Where the Licensed Rights include Sui Generis Database Rights that
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contents in a database in which You have Sui Generis Database
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Rights (but not its individual contents) is Adapted Material; and
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c. You must comply with the conditions in Section 3(a) if You Share
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For the avoidance of doubt, this Section 4 supplements and does not
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Section 5 -- Disclaimer of Warranties and Limitation of Liability.
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EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
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KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
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IN PART, THIS LIMITATION MAY NOT APPLY TO YOU.
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this Public License, then Your rights under this Public License
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|
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b. Where Your right to use the Licensed Material has terminated under
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|
336 |
+
1. automatically as of the date the violation is cured, provided
|
337 |
+
it is cured within 30 days of Your discovery of the
|
338 |
+
violation; or
|
339 |
+
|
340 |
+
2. upon express reinstatement by the Licensor.
|
341 |
+
|
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For the avoidance of doubt, this Section 6(b) does not affect any
|
343 |
+
right the Licensor may have to seek remedies for Your violations
|
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|
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|
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|
351 |
+
d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
|
352 |
+
License.
|
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+
|
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|
355 |
+
Section 7 -- Other Terms and Conditions.
|
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|
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+
a. The Licensor shall not be bound by any additional or different
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358 |
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|
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|
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b. Any arrangements, understandings, or agreements regarding the
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Licensed Material not stated herein are separate from and
|
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independent of the terms and conditions of this Public License.
|
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|
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|
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Section 8 -- Interpretation.
|
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|
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=======================================================================
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Creative Commons is not a party to its public
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public licenses is dedicated to the public domain under the CC0 Public
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395 |
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Domain Dedication. Except for the limited purpose of indicating that
|
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|
397 |
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otherwise permitted by the Creative Commons policies published at
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399 |
+
use of the trademark "Creative Commons" or any other trademark or logo
|
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|
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understandings, or agreements concerning use of licensed material. For
|
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|
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|
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+
|
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Creative Commons may be contacted at creativecommons.org.
|
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|
409 |
+
|
Makefile
ADDED
@@ -0,0 +1,56 @@
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
PROJECT ?= vidar
|
2 |
+
WORKSPACE ?= /workspace/$(PROJECT)
|
3 |
+
DOCKER_IMAGE ?= ${PROJECT}:latest
|
4 |
+
|
5 |
+
SHMSIZE ?= 444G
|
6 |
+
WANDB_MODE ?= run
|
7 |
+
DOCKER_OPTS := \
|
8 |
+
--name ${PROJECT} \
|
9 |
+
--rm -it \
|
10 |
+
--shm-size=${SHMSIZE} \
|
11 |
+
-e AWS_DEFAULT_REGION \
|
12 |
+
-e AWS_ACCESS_KEY_ID \
|
13 |
+
-e AWS_SECRET_ACCESS_KEY \
|
14 |
+
-e WANDB_API_KEY \
|
15 |
+
-e WANDB_ENTITY \
|
16 |
+
-e WANDB_MODE \
|
17 |
+
-e HOST_HOSTNAME= \
|
18 |
+
-e OMP_NUM_THREADS=1 -e KMP_AFFINITY="granularity=fine,compact,1,0" \
|
19 |
+
-e OMPI_ALLOW_RUN_AS_ROOT=1 \
|
20 |
+
-e OMPI_ALLOW_RUN_AS_ROOT_CONFIRM=1 \
|
21 |
+
-e NCCL_DEBUG=VERSION \
|
22 |
+
-e DISPLAY=${DISPLAY} \
|
23 |
+
-e XAUTHORITY \
|
24 |
+
-e NVIDIA_DRIVER_CAPABILITIES=all \
|
25 |
+
-v ~/.aws:/root/.aws \
|
26 |
+
-v /root/.ssh:/root/.ssh \
|
27 |
+
-v ~/.cache:/root/.cache \
|
28 |
+
-v /dev/null:/dev/raw1394 \
|
29 |
+
-v /mnt/fsx/tmp:/tmp \
|
30 |
+
-v /tmp/.X11-unix/X0:/tmp/.X11-unix/X0 \
|
31 |
+
-v /var/run/docker.sock:/var/run/docker.sock \
|
32 |
+
-v /home/jiadingfang/datasets:/data \
|
33 |
+
-v ${PWD}:${WORKSPACE} \
|
34 |
+
-w ${WORKSPACE} \
|
35 |
+
--privileged \
|
36 |
+
--ipc=host \
|
37 |
+
--network=host
|
38 |
+
|
39 |
+
NGPUS=$(shell nvidia-smi -L | wc -l)
|
40 |
+
|
41 |
+
all: clean
|
42 |
+
|
43 |
+
clean:
|
44 |
+
find . -name "*.pyc" | xargs rm -f && \
|
45 |
+
find . -name "__pycache__" | xargs rm -rf
|
46 |
+
|
47 |
+
docker-build:
|
48 |
+
docker build \
|
49 |
+
-f docker/Dockerfile \
|
50 |
+
-t ${DOCKER_IMAGE} .
|
51 |
+
|
52 |
+
docker-interactive: docker-build
|
53 |
+
nvidia-docker run ${DOCKER_OPTS} ${DOCKER_IMAGE} bash
|
54 |
+
|
55 |
+
docker-run: docker-build
|
56 |
+
nvidia-docker run ${DOCKER_OPTS} ${DOCKER_IMAGE} bash -c "${COMMAND}"
|
configs/overfit/ddad_tiny.yaml
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
max_epochs: 1
|
4 |
+
arch:
|
5 |
+
model:
|
6 |
+
file: depth/SelfSupervisedModel
|
7 |
+
networks:
|
8 |
+
depth:
|
9 |
+
recipe: networks/mono_depth_res_net|default
|
10 |
+
depth_range: [0.1,100.0]
|
11 |
+
pose:
|
12 |
+
recipe: networks/pose_net|default
|
13 |
+
losses:
|
14 |
+
reprojection:
|
15 |
+
recipe: losses/reprojection|default
|
16 |
+
smoothness:
|
17 |
+
recipe: losses/smoothness|default
|
18 |
+
evaluation:
|
19 |
+
depth:
|
20 |
+
recipe: evaluation/depth|ddad_resize
|
21 |
+
optimizers:
|
22 |
+
depth:
|
23 |
+
recipe: optimizers|adam_20_05
|
24 |
+
pose:
|
25 |
+
recipe: optimizers|adam_20_05
|
26 |
+
datasets:
|
27 |
+
train:
|
28 |
+
recipe: datasets/ddad_tiny|train_selfsup_front
|
29 |
+
validation:
|
30 |
+
recipe: datasets/ddad_tiny|validation_front
|
31 |
+
|
configs/overfit/generic.yaml
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
max_epochs: 1
|
4 |
+
arch:
|
5 |
+
model:
|
6 |
+
file: depth/SelfSupervisedModel
|
7 |
+
networks:
|
8 |
+
depth:
|
9 |
+
recipe: networks/mono_depth_res_net|default
|
10 |
+
depth_range: [0.1,100.0]
|
11 |
+
pose:
|
12 |
+
recipe: networks/pose_net|default
|
13 |
+
losses:
|
14 |
+
reprojection:
|
15 |
+
recipe: losses/reprojection|default
|
16 |
+
smoothness:
|
17 |
+
recipe: losses/smoothness|default
|
18 |
+
optimizers:
|
19 |
+
depth:
|
20 |
+
recipe: optimizers|adam_20_05
|
21 |
+
pose:
|
22 |
+
recipe: optimizers|adam_20_05
|
23 |
+
datasets:
|
24 |
+
train:
|
25 |
+
recipe: datasets/generic|default_train
|
26 |
+
validation:
|
27 |
+
recipe: datasets/generic|default_validation
|
configs/overfit/kitti_tiny.yaml
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
max_epochs: 1
|
4 |
+
arch:
|
5 |
+
model:
|
6 |
+
file: depth/SelfSupervisedModel
|
7 |
+
networks:
|
8 |
+
depth:
|
9 |
+
recipe: networks/mono_depth_res_net|default
|
10 |
+
depth_range: [0.1,100.0]
|
11 |
+
pose:
|
12 |
+
recipe: networks/pose_net|default
|
13 |
+
losses:
|
14 |
+
reprojection:
|
15 |
+
recipe: losses/reprojection|default
|
16 |
+
smoothness:
|
17 |
+
recipe: losses/smoothness|default
|
18 |
+
evaluation:
|
19 |
+
depth:
|
20 |
+
recipe: evaluation/depth|kitti_resize
|
21 |
+
optimizers:
|
22 |
+
depth:
|
23 |
+
recipe: optimizers|adam_20_05
|
24 |
+
pose:
|
25 |
+
recipe: optimizers|adam_20_05
|
26 |
+
datasets:
|
27 |
+
train:
|
28 |
+
recipe: datasets/kitti_tiny|train_selfsup_mr
|
29 |
+
validation:
|
30 |
+
recipe: datasets/kitti_tiny|validation_mr
|
31 |
+
|
configs/papers/define/scannet_temporal_test.yaml
ADDED
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
seed: 42
|
3 |
+
min_epochs: 0
|
4 |
+
max_epochs: 0
|
5 |
+
find_unused_parameters: True
|
6 |
+
flip_lr_prob: 0.5
|
7 |
+
validate_first: True
|
8 |
+
validate_flipped: False
|
9 |
+
sync_batch_norm: True
|
10 |
+
evaluation:
|
11 |
+
rgb:
|
12 |
+
only_first: False
|
13 |
+
depth:
|
14 |
+
crop: ''
|
15 |
+
min_depth: 0.2
|
16 |
+
max_depth: 10.0
|
17 |
+
scale_output: resize
|
18 |
+
median_scaling: True
|
19 |
+
post_process: False
|
20 |
+
arch:
|
21 |
+
model:
|
22 |
+
checkpoint: /data/vidar/models/scannet_full.ckpt
|
23 |
+
file: perceiver/DefineGenericModel
|
24 |
+
use_pose_noise: []
|
25 |
+
use_virtual_cameras: []
|
26 |
+
virtual_cameras_eval: False
|
27 |
+
use_virtual_rgb: False
|
28 |
+
augment_canonical: False
|
29 |
+
encode_train: all
|
30 |
+
encode_eval: all
|
31 |
+
decode_train: all
|
32 |
+
decode_eval: all
|
33 |
+
decode_encodes: False
|
34 |
+
task_weights: [1.0,1.0]
|
35 |
+
scale_loss: True
|
36 |
+
sample_decoded_queries: 0.0
|
37 |
+
network:
|
38 |
+
tasks: [depth]
|
39 |
+
depth_range: [0.1,10.]
|
40 |
+
image_shape: [128,192]
|
41 |
+
num_bands_orig: 20
|
42 |
+
num_bands_dirs: 10
|
43 |
+
max_resolution_orig: 60
|
44 |
+
max_resolution_dirs: 60
|
45 |
+
to_world: True
|
46 |
+
d_latents: 512
|
47 |
+
num_latents: 1024
|
48 |
+
hidden_dropout_prob: 0.25
|
49 |
+
num_cross_attention_heads: 1
|
50 |
+
num_self_attends_per_block: 8
|
51 |
+
num_self_attention_heads: 8
|
52 |
+
decoder_num_heads: 1
|
53 |
+
rgb_feat_dim: 960
|
54 |
+
rgb_feat_type: resnet_all
|
55 |
+
downsample_encoder: 4
|
56 |
+
downsample_decoder: 4
|
57 |
+
upsample_convex: 'convex'
|
58 |
+
encoder_with_rgb: True
|
59 |
+
decoder_with_rgb: False
|
60 |
+
output_mode: inv_depth
|
61 |
+
sample_encoding_rays: 0
|
62 |
+
with_monodepth: False
|
63 |
+
datasets:
|
64 |
+
validation:
|
65 |
+
name: [ScanNetTemporal]
|
66 |
+
path: [/data/vidar/scannet_processed]
|
67 |
+
split: [test]
|
68 |
+
context: [-2,2]
|
69 |
+
stride: [10]
|
70 |
+
labels: [depth,pose]
|
71 |
+
cameras: [[0]]
|
72 |
+
dataloader:
|
73 |
+
batch_size: 1
|
74 |
+
pin_memory: True
|
75 |
+
num_workers: 4
|
76 |
+
augmentation:
|
77 |
+
resize: [128,192]
|
78 |
+
resize_supervision: True
|
79 |
+
preserve_depth: True
|
configs/papers/define/scannet_temporal_test_context_1.yaml
ADDED
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
seed: 42
|
3 |
+
min_epochs: 0
|
4 |
+
max_epochs: 0
|
5 |
+
find_unused_parameters: True
|
6 |
+
flip_lr_prob: 0.5
|
7 |
+
validate_first: True
|
8 |
+
validate_flipped: False
|
9 |
+
sync_batch_norm: True
|
10 |
+
evaluation:
|
11 |
+
rgb:
|
12 |
+
only_first: False
|
13 |
+
depth:
|
14 |
+
crop: ''
|
15 |
+
min_depth: 0.2
|
16 |
+
max_depth: 10.0
|
17 |
+
scale_output: resize
|
18 |
+
median_scaling: True
|
19 |
+
post_process: False
|
20 |
+
arch:
|
21 |
+
model:
|
22 |
+
checkpoint: /data/vidar/models/scannet_full.ckpt
|
23 |
+
file: perceiver/DefineGenericModel
|
24 |
+
use_pose_noise: []
|
25 |
+
use_virtual_cameras: []
|
26 |
+
virtual_cameras_eval: False
|
27 |
+
use_virtual_rgb: False
|
28 |
+
augment_canonical: False
|
29 |
+
encode_train: all
|
30 |
+
encode_eval: all
|
31 |
+
decode_train: all
|
32 |
+
decode_eval: all
|
33 |
+
decode_encodes: False
|
34 |
+
task_weights: [1.0,1.0]
|
35 |
+
scale_loss: True
|
36 |
+
sample_decoded_queries: 0.0
|
37 |
+
network:
|
38 |
+
tasks: [depth]
|
39 |
+
depth_range: [0.1,10.]
|
40 |
+
image_shape: [128,192]
|
41 |
+
num_bands_orig: 20
|
42 |
+
num_bands_dirs: 10
|
43 |
+
max_resolution_orig: 60
|
44 |
+
max_resolution_dirs: 60
|
45 |
+
to_world: True
|
46 |
+
d_latents: 512
|
47 |
+
num_latents: 1024
|
48 |
+
hidden_dropout_prob: 0.25
|
49 |
+
num_cross_attention_heads: 1
|
50 |
+
num_self_attends_per_block: 8
|
51 |
+
num_self_attention_heads: 8
|
52 |
+
decoder_num_heads: 1
|
53 |
+
rgb_feat_dim: 960
|
54 |
+
rgb_feat_type: resnet_all
|
55 |
+
downsample_encoder: 4
|
56 |
+
downsample_decoder: 4
|
57 |
+
upsample_convex: 'convex'
|
58 |
+
encoder_with_rgb: True
|
59 |
+
decoder_with_rgb: False
|
60 |
+
output_mode: inv_depth
|
61 |
+
sample_encoding_rays: 0
|
62 |
+
with_monodepth: False
|
63 |
+
datasets:
|
64 |
+
validation:
|
65 |
+
name: [ScanNetTemporal]
|
66 |
+
path: [/data/vidar/scannet_processed]
|
67 |
+
split: [test]
|
68 |
+
context: [1]
|
69 |
+
stride: [10]
|
70 |
+
labels: [depth,pose]
|
71 |
+
cameras: [[0]]
|
72 |
+
dataloader:
|
73 |
+
batch_size: 1
|
74 |
+
pin_memory: True
|
75 |
+
num_workers: 4
|
76 |
+
augmentation:
|
77 |
+
resize: [128,192]
|
78 |
+
resize_supervision: True
|
79 |
+
preserve_depth: True
|
configs/papers/depthformer/inference_kitti.yaml
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
arch:
|
4 |
+
model:
|
5 |
+
file: depth/DepthFormerModel
|
6 |
+
checkpoint: /data/vidar/models/papers/final/DepthFormer_MR_selfsup_KITTI.ckpt
|
7 |
+
warp_context: [-1,1]
|
8 |
+
match_context: [-1]
|
9 |
+
motion_masking: True
|
10 |
+
matching_augmentation: False
|
11 |
+
freeze_teacher_and_pose: 40
|
12 |
+
networks:
|
13 |
+
transformer:
|
14 |
+
recipe: networks/transformer|depthformer
|
15 |
+
mono_depth:
|
16 |
+
recipe: networks/mono_depth_res_net|default
|
17 |
+
depth_range: [0.1,100.0]
|
18 |
+
multi_depth:
|
19 |
+
recipe: networks/multi_depth_res_net|depthformer
|
20 |
+
pose:
|
21 |
+
recipe: networks/pose_net|default
|
22 |
+
evaluation:
|
23 |
+
depth:
|
24 |
+
recipe: evaluation/depth|kitti_resize
|
25 |
+
datasets:
|
26 |
+
validation:
|
27 |
+
recipe: datasets/kitti|validation_mr
|
28 |
+
labels: [depth,pose]
|
29 |
+
context: [-1,1]
|
30 |
+
save:
|
31 |
+
recipe: save|depth_splitname
|
configs/papers/fsm/inference_ddad.yaml
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
arch:
|
4 |
+
model:
|
5 |
+
file: depth/FSMModel
|
6 |
+
checkpoint: /data/vidar/models/papers/final/FSM_MR_6cams_DDAD.ckpt
|
7 |
+
networks:
|
8 |
+
depth:
|
9 |
+
recipe: networks/focal_depth_res_net|fsm_ddad
|
10 |
+
pose:
|
11 |
+
recipe: networks/conv_pose_net|default
|
12 |
+
evaluation:
|
13 |
+
depth:
|
14 |
+
recipe: evaluation/depth|ddad_resize
|
15 |
+
datasets:
|
16 |
+
validation:
|
17 |
+
recipe: datasets/ddad|validation_6cams
|
18 |
+
save:
|
19 |
+
recipe: save|depth_splitname
|
configs/papers/packnet/inference_packnet.yaml
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
arch:
|
4 |
+
model:
|
5 |
+
file: depth/SelfSupervisedModel
|
6 |
+
checkpoint: /data/vidar/models/papers/final/PackNet_MR_selfsup_KITTI.ckpt
|
7 |
+
networks:
|
8 |
+
depth:
|
9 |
+
recipe: networks/packnet|default
|
10 |
+
depth_range: [0.1,100.0]
|
11 |
+
pose:
|
12 |
+
recipe: networks/conv_pose_net|default
|
13 |
+
evaluation:
|
14 |
+
depth:
|
15 |
+
recipe: evaluation/depth|kitti_resize
|
16 |
+
datasets:
|
17 |
+
validation:
|
18 |
+
recipe: datasets/kitti|validation_mr
|
19 |
+
save:
|
20 |
+
recipe: save|depth_splitname
|
configs/papers/packnet/inference_resnet.yaml
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
arch:
|
4 |
+
model:
|
5 |
+
file: depth/SelfSupervisedModel
|
6 |
+
checkpoint: /data/vidar/models/papers/final/ResNet18_MR_selfsup_KITTI.ckpt
|
7 |
+
networks:
|
8 |
+
depth:
|
9 |
+
recipe: networks/mono_depth_res_net|default
|
10 |
+
depth_range: [0.1,100.0]
|
11 |
+
pose:
|
12 |
+
recipe: networks/pose_net|default
|
13 |
+
evaluation:
|
14 |
+
depth:
|
15 |
+
recipe: evaluation/depth|kitti_resize
|
16 |
+
datasets:
|
17 |
+
validation:
|
18 |
+
recipe: datasets/kitti|validation_mr
|
19 |
+
save:
|
20 |
+
recipe: save|depth_splitname
|
configs/papers/selfcalib/ds_euroc.yaml
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
validate_first: False
|
4 |
+
arch:
|
5 |
+
model:
|
6 |
+
file: depth/SelfSupervisedModel
|
7 |
+
use_gt_intrinsics: False
|
8 |
+
networks:
|
9 |
+
depth:
|
10 |
+
recipe: networks/mono_depth_res_net|default
|
11 |
+
depth_range: [0.1,80.0]
|
12 |
+
pose:
|
13 |
+
recipe: networks/pose_net|default
|
14 |
+
intrinsics:
|
15 |
+
file: intrinsics/IntrinsicsNet
|
16 |
+
camera_model: 'DS'
|
17 |
+
shape: [256, 384]
|
18 |
+
losses:
|
19 |
+
reprojection:
|
20 |
+
recipe: losses/reprojection|default
|
21 |
+
smoothness:
|
22 |
+
recipe: losses/smoothness|default
|
23 |
+
evaluation:
|
24 |
+
depth:
|
25 |
+
recipe: evaluation/depth|kitti_resize
|
26 |
+
optimizers:
|
27 |
+
depth:
|
28 |
+
recipe: optimizers|adam_20_05
|
29 |
+
lr: 0.0002
|
30 |
+
pose:
|
31 |
+
recipe: optimizers|adam_20_05
|
32 |
+
lr: 0.0002
|
33 |
+
intrinsics:
|
34 |
+
recipe: optimizers|adam_20_05
|
35 |
+
lr: 0.01
|
36 |
+
datasets:
|
37 |
+
train:
|
38 |
+
recipe: datasets/euroc|train_selfsup
|
39 |
+
validation:
|
40 |
+
recipe: datasets/euroc|validation
|
configs/papers/selfcalib/eucm_euroc.yaml
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
validate_first: False
|
4 |
+
arch:
|
5 |
+
model:
|
6 |
+
file: depth/SelfSupervisedModel
|
7 |
+
use_gt_intrinsics: False
|
8 |
+
networks:
|
9 |
+
depth:
|
10 |
+
recipe: networks/mono_depth_res_net|default
|
11 |
+
depth_range: [0.1,80.0]
|
12 |
+
pose:
|
13 |
+
recipe: networks/pose_net|default
|
14 |
+
intrinsics:
|
15 |
+
file: intrinsics/IntrinsicsNet
|
16 |
+
camera_model: 'EUCM'
|
17 |
+
shape: [256, 384]
|
18 |
+
losses:
|
19 |
+
reprojection:
|
20 |
+
recipe: losses/reprojection|default
|
21 |
+
smoothness:
|
22 |
+
recipe: losses/smoothness|default
|
23 |
+
evaluation:
|
24 |
+
depth:
|
25 |
+
recipe: evaluation/depth|kitti_resize
|
26 |
+
optimizers:
|
27 |
+
depth:
|
28 |
+
recipe: optimizers|adam_20_05
|
29 |
+
lr: 0.0002
|
30 |
+
pose:
|
31 |
+
recipe: optimizers|adam_20_05
|
32 |
+
lr: 0.0002
|
33 |
+
intrinsics:
|
34 |
+
recipe: optimizers|adam_20_05
|
35 |
+
lr: 0.01
|
36 |
+
datasets:
|
37 |
+
train:
|
38 |
+
recipe: datasets/euroc|train_selfsup
|
39 |
+
validation:
|
40 |
+
recipe: datasets/euroc|validation
|
configs/papers/selfcalib/ucm_euroc.yaml
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
validate_first: False
|
4 |
+
arch:
|
5 |
+
model:
|
6 |
+
file: depth/SelfSupervisedModel
|
7 |
+
use_gt_intrinsics: False
|
8 |
+
networks:
|
9 |
+
depth:
|
10 |
+
recipe: networks/mono_depth_res_net|default
|
11 |
+
depth_range: [0.1,80.0]
|
12 |
+
pose:
|
13 |
+
recipe: networks/pose_net|default
|
14 |
+
intrinsics:
|
15 |
+
file: intrinsics/IntrinsicsNet
|
16 |
+
camera_model: 'UCM'
|
17 |
+
shape: [256, 384]
|
18 |
+
losses:
|
19 |
+
reprojection:
|
20 |
+
recipe: losses/reprojection|default
|
21 |
+
smoothness:
|
22 |
+
recipe: losses/smoothness|default
|
23 |
+
evaluation:
|
24 |
+
depth:
|
25 |
+
recipe: evaluation/depth|kitti_resize
|
26 |
+
optimizers:
|
27 |
+
depth:
|
28 |
+
recipe: optimizers|adam_20_05
|
29 |
+
lr: 0.0002
|
30 |
+
pose:
|
31 |
+
recipe: optimizers|adam_20_05
|
32 |
+
lr: 0.0002
|
33 |
+
intrinsics:
|
34 |
+
recipe: optimizers|adam_20_05
|
35 |
+
lr: 0.01
|
36 |
+
datasets:
|
37 |
+
train:
|
38 |
+
recipe: datasets/euroc|train_selfsup
|
39 |
+
validation:
|
40 |
+
recipe: datasets/euroc|validation
|
configs/papers/selfcalib/ucm_kitti.yaml
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
wrapper:
|
2 |
+
recipe: wrapper|default
|
3 |
+
validate_first: False
|
4 |
+
arch:
|
5 |
+
model:
|
6 |
+
file: depth/SelfSupervisedModel
|
7 |
+
use_gt_intrinsics: False
|
8 |
+
networks:
|
9 |
+
depth:
|
10 |
+
recipe: networks/mono_depth_res_net|default
|
11 |
+
depth_range: [0.1,100.0]
|
12 |
+
pose:
|
13 |
+
recipe: networks/pose_net|default
|
14 |
+
intrinsics:
|
15 |
+
file: intrinsics/IntrinsicsNet
|
16 |
+
camera_model: 'UCM'
|
17 |
+
shape: [192, 640]
|
18 |
+
losses:
|
19 |
+
reprojection:
|
20 |
+
recipe: losses/reprojection|default
|
21 |
+
smoothness:
|
22 |
+
recipe: losses/smoothness|default
|
23 |
+
evaluation:
|
24 |
+
depth:
|
25 |
+
recipe: evaluation/depth|kitti_resize
|
26 |
+
optimizers:
|
27 |
+
depth:
|
28 |
+
recipe: optimizers|adam_20_05
|
29 |
+
lr: 0.0002
|
30 |
+
pose:
|
31 |
+
recipe: optimizers|adam_20_05
|
32 |
+
lr: 0.0002
|
33 |
+
intrinsics:
|
34 |
+
recipe: optimizers|adam_20_05
|
35 |
+
lr: 0.01
|
36 |
+
datasets:
|
37 |
+
train:
|
38 |
+
recipe: datasets/kitti|train_selfsup_mr
|
39 |
+
dataloader:
|
40 |
+
batch_size: 8
|
41 |
+
validation:
|
42 |
+
recipe: datasets/kitti|validation_mr
|
43 |
+
dataloader:
|
44 |
+
batch_size: 1
|
configs/recipes/checkpoint.yaml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
folder: /data/vidar/checkpoints
|
3 |
+
s3_bucket: miru-us-east-1/vidar/checkpoints
|
4 |
+
save_code: True
|
5 |
+
keep_top: 5
|
6 |
+
default_local:
|
7 |
+
folder: /data/vidar/checkpoints
|
8 |
+
keep_top: 5
|
configs/recipes/datasets/ddad.yaml
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
train_selfsup_6cams:
|
2 |
+
name: [Ouroboros]
|
3 |
+
path: [/data/vidar/DDAD/ddad.json]
|
4 |
+
split: [train]
|
5 |
+
augmentation:
|
6 |
+
jittering: [0.2, 0.2, 0.2, 0.05]
|
7 |
+
resize: [384, 640]
|
8 |
+
dataloader:
|
9 |
+
batch_size: 1
|
10 |
+
pin_memory: True
|
11 |
+
num_workers: 16
|
12 |
+
context: [-1,1]
|
13 |
+
labels: [depth]
|
14 |
+
cameras: [[1],[5],[6],[7],[8],[9]]
|
15 |
+
depth_type: [lidar]
|
16 |
+
repeat: [100]
|
17 |
+
validation_6cams:
|
18 |
+
name: [Ouroboros]
|
19 |
+
path: [/data/vidar/DDAD/ddad.json]
|
20 |
+
split: [val]
|
21 |
+
augmentation:
|
22 |
+
resize: [384, 640]
|
23 |
+
dataloader:
|
24 |
+
batch_size: 1
|
25 |
+
pin_memory: True
|
26 |
+
num_workers: 16
|
27 |
+
context: []
|
28 |
+
labels: [depth]
|
29 |
+
cameras: [[1],[5],[6],[7],[8],[9]]
|
30 |
+
depth_type: [lidar]
|
31 |
+
|
32 |
+
|
configs/recipes/datasets/ddad_tiny.yaml
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
train_selfsup_front:
|
2 |
+
name: [Ouroboros]
|
3 |
+
path: [/data/vidar/DDAD_tiny/ddad_tiny.json]
|
4 |
+
split: [train]
|
5 |
+
augmentation:
|
6 |
+
jittering: [0.2, 0.2, 0.2, 0.05]
|
7 |
+
resize: [384, 640]
|
8 |
+
dataloader:
|
9 |
+
batch_size: 1
|
10 |
+
pin_memory: True
|
11 |
+
num_workers: 16
|
12 |
+
context: [-1,1]
|
13 |
+
labels: [depth]
|
14 |
+
cameras: [[1]]
|
15 |
+
depth_type: [lidar]
|
16 |
+
repeat: [100]
|
17 |
+
validation_front:
|
18 |
+
name: [Ouroboros]
|
19 |
+
path: [/data/vidar/DDAD_tiny/ddad_tiny.json]
|
20 |
+
split: [train]
|
21 |
+
augmentation:
|
22 |
+
resize: [384, 640]
|
23 |
+
dataloader:
|
24 |
+
batch_size: 1
|
25 |
+
pin_memory: True
|
26 |
+
num_workers: 16
|
27 |
+
context: []
|
28 |
+
labels: [depth]
|
29 |
+
cameras: [[1]]
|
30 |
+
depth_type: [lidar]
|
31 |
+
|
32 |
+
|
configs/recipes/datasets/euroc.yaml
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
train_selfsup:
|
2 |
+
name: [EUROC]
|
3 |
+
path: [/data/vidar/euroc/euroc_cam/cam0]
|
4 |
+
augmentation:
|
5 |
+
jittering: [0.2, 0.2, 0.2, 0.05]
|
6 |
+
resize: [256, 384]
|
7 |
+
dataloader:
|
8 |
+
batch_size: 16
|
9 |
+
pin_memory: True
|
10 |
+
num_workers: 16
|
11 |
+
context: [-1, 1]
|
12 |
+
strides: [[49999872, 50000128]]
|
13 |
+
cameras: [[0]]
|
14 |
+
split: [euroc-train]
|
15 |
+
labels: []
|
16 |
+
repeat: [1]
|
17 |
+
validation:
|
18 |
+
name: [EUROC]
|
19 |
+
path: [/data/vidar/euroc/euroc_has_depth/V2_01_easy_has_depth/mav0/]
|
20 |
+
augmentation:
|
21 |
+
resize: [256, 384]
|
22 |
+
dataloader:
|
23 |
+
batch_size: 1
|
24 |
+
pin_memory: True
|
25 |
+
num_workers: 16
|
26 |
+
split: [euroc-val]
|
27 |
+
labels: [depth]
|
28 |
+
context: []
|
29 |
+
strides: [[0, 0]]
|
30 |
+
cameras: [[0]]
|
configs/recipes/datasets/generic.yaml
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default_train:
|
2 |
+
name: [Generic]
|
3 |
+
path: [data/generic]
|
4 |
+
split: ['']
|
5 |
+
context: [-1,1]
|
6 |
+
cameras: [[0]]
|
7 |
+
labels: []
|
8 |
+
extension: [jpg]
|
9 |
+
repeat: [100]
|
10 |
+
augmentation:
|
11 |
+
jittering: [0.2, 0.2, 0.2, 0.05]
|
12 |
+
resize: [384, 640]
|
13 |
+
dataloader:
|
14 |
+
batch_size: 1
|
15 |
+
pin_memory: True
|
16 |
+
num_workers: 16
|
17 |
+
default_validation:
|
18 |
+
name: [Generic]
|
19 |
+
path: [data/generic]
|
20 |
+
split: ['']
|
21 |
+
context: []
|
22 |
+
cameras: [[0]]
|
23 |
+
labels: []
|
24 |
+
extension: [jpg]
|
25 |
+
augmentation:
|
26 |
+
resize: [384, 640]
|
27 |
+
dataloader:
|
28 |
+
batch_size: 1
|
29 |
+
pin_memory: True
|
30 |
+
num_workers: 16
|
configs/recipes/datasets/kitti.yaml
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
train_selfsup_mr:
|
2 |
+
name: [KITTI]
|
3 |
+
path: [/data/vidar/KITTI_raw]
|
4 |
+
split: [data_splits/eigen_zhou_files.txt]
|
5 |
+
augmentation:
|
6 |
+
jittering: [0.2, 0.2, 0.2, 0.05]
|
7 |
+
resize: [192, 640]
|
8 |
+
dataloader:
|
9 |
+
batch_size: 1
|
10 |
+
pin_memory: True
|
11 |
+
num_workers: 16
|
12 |
+
context: [-1,1]
|
13 |
+
labels: []
|
14 |
+
cameras: [[0]]
|
15 |
+
single_intrinsics: [True]
|
16 |
+
repeat: [1]
|
17 |
+
validation_mr:
|
18 |
+
name: [KITTI]
|
19 |
+
path: [/data/vidar/KITTI_raw]
|
20 |
+
split: [data_splits/eigen_test_files.txt]
|
21 |
+
augmentation:
|
22 |
+
resize: [192, 640]
|
23 |
+
dataloader:
|
24 |
+
batch_size: 1
|
25 |
+
pin_memory: True
|
26 |
+
num_workers: 16
|
27 |
+
context: []
|
28 |
+
labels: [depth]
|
29 |
+
cameras: [[0]]
|
30 |
+
single_intrinsics: [True]
|
31 |
+
depth_type: [velodyne,groundtruth]
|
configs/recipes/datasets/kitti_tiny.yaml
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
train_selfsup_mr:
|
2 |
+
name: [KITTI]
|
3 |
+
path: [/data/vidar/KITTI_tiny]
|
4 |
+
split: [kitti_tiny.txt]
|
5 |
+
augmentation:
|
6 |
+
jittering: [0.2,0.2,0.2,0.05]
|
7 |
+
resize: [192,640]
|
8 |
+
dataloader:
|
9 |
+
batch_size: 1
|
10 |
+
pin_memory: True
|
11 |
+
num_workers: 16
|
12 |
+
context: [-1,1]
|
13 |
+
labels: []
|
14 |
+
cameras: [[0]]
|
15 |
+
single_intrinsics: [True]
|
16 |
+
repeat: [100]
|
17 |
+
depth_type: [velodyne]
|
18 |
+
validation_mr:
|
19 |
+
name: [KITTI]
|
20 |
+
path: [/data/vidar/KITTI_tiny]
|
21 |
+
split: [kitti_tiny.txt]
|
22 |
+
augmentation:
|
23 |
+
resize: [192,640]
|
24 |
+
dataloader:
|
25 |
+
batch_size: 1
|
26 |
+
pin_memory: True
|
27 |
+
num_workers: 16
|
28 |
+
context: []
|
29 |
+
labels: [depth]
|
30 |
+
cameras: [[0]]
|
31 |
+
single_intrinsics: [True]
|
32 |
+
depth_type: [velodyne]
|
configs/recipes/datasets/vkitti2.yaml
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
tiny:
|
2 |
+
name: [VKITTI2]
|
3 |
+
path: [/data/vidar/VKITTI2_tiny]
|
4 |
+
split: ['']
|
5 |
+
augmentation:
|
6 |
+
resize: [192, 640]
|
7 |
+
resize_supervision: True
|
8 |
+
dataloader:
|
9 |
+
batch_size: 1
|
10 |
+
pin_memory: True
|
11 |
+
num_workers: 16
|
12 |
+
context: [-1,1]
|
13 |
+
labels: [depth,pose]
|
14 |
+
labels_context: [depth,pose]
|
15 |
+
cameras: [[0]]
|
16 |
+
depth_type: [zbuffer]
|
configs/recipes/evaluation/depth.yaml
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
kitti_resize:
|
2 |
+
crop: garg
|
3 |
+
min_depth: 0.0
|
4 |
+
max_depth: 80.0
|
5 |
+
scale_output: resize
|
6 |
+
median_scaling: True
|
7 |
+
post_process: True
|
8 |
+
kitti_crop:
|
9 |
+
crop: garg
|
10 |
+
min_depth: 0.0
|
11 |
+
max_depth: 80.0
|
12 |
+
scale_output: top-center
|
13 |
+
median_scaling: True
|
14 |
+
post_process: True
|
15 |
+
ddad_resize:
|
16 |
+
crop: ''
|
17 |
+
min_depth: 0.0
|
18 |
+
max_depth: 200.0
|
19 |
+
scale_output: resize
|
20 |
+
median_scaling: True
|
21 |
+
post_process: True
|
configs/recipes/losses/reprojection.yaml
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
file: ReprojectionLoss
|
3 |
+
automasking: True
|
4 |
+
reprojection_reduce_op: min
|
5 |
+
jitter_identity_reprojection: 0.00001
|
6 |
+
photometric:
|
7 |
+
file: PhotometricLoss
|
8 |
+
weight: 1.0
|
9 |
+
alpha: 0.85
|
configs/recipes/losses/smoothness.yaml
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
file: SmoothnessLoss
|
3 |
+
normalize: True
|
4 |
+
weight: 0.0001
|
5 |
+
gamma: 0.5
|
configs/recipes/losses/supervised_depth.yaml
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
huber:
|
2 |
+
file: SupervisedDepthLoss
|
3 |
+
gamma: 0.5
|
4 |
+
method: huber
|
5 |
+
mask_sparse: True
|
6 |
+
abs_rel:
|
7 |
+
file: SupervisedDepthLoss
|
8 |
+
gamma: 0.5
|
9 |
+
method: abs_rel
|
10 |
+
mask_sparse: True
|
11 |
+
l1log:
|
12 |
+
file: SupervisedDepthLoss
|
13 |
+
gamma: 0.5
|
14 |
+
method: l1log
|
15 |
+
mask_sparse: True
|
16 |
+
l1:
|
17 |
+
file: SupervisedDepthLoss
|
18 |
+
gamma: 0.5
|
19 |
+
method: l1
|
20 |
+
mask_sparse: True
|
21 |
+
mse:
|
22 |
+
file: SupervisedDepthLoss
|
23 |
+
gamma: 0.5
|
24 |
+
method: mse
|
25 |
+
mask_sparse: True
|
26 |
+
rmse:
|
27 |
+
file: SupervisedDepthLoss
|
28 |
+
gamma: 0.5
|
29 |
+
method: rmse
|
30 |
+
mask_sparse: True
|
31 |
+
mixture:
|
32 |
+
file: SupervisedDepthLoss
|
33 |
+
gamma: 0.5
|
34 |
+
method: mixture
|
35 |
+
mask_sparse: True
|
36 |
+
cross_entropy:
|
37 |
+
file: SupervisedDepthLoss
|
38 |
+
gamma: 0.5
|
39 |
+
method: cross_entropy
|
40 |
+
mask_sparse: True
|
configs/recipes/networks/conv_pose_net.yaml
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
file: pose/ConvPoseNet
|
3 |
+
version: 18
|
4 |
+
pretrained: True
|
5 |
+
num_rgb_in: 2
|
configs/recipes/networks/focal_depth_res_net.yaml
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
fsm_ddad:
|
2 |
+
file: depth/FocalDepthResNet
|
3 |
+
encoder:
|
4 |
+
version: 18
|
5 |
+
pretrained: True
|
6 |
+
num_rgb_in: 1
|
7 |
+
decoder:
|
8 |
+
use_skips: True
|
9 |
+
activation: sigmoid
|
10 |
+
num_ch_out: 1
|
11 |
+
min_depth: 0.005
|
12 |
+
max_depth: 0.3
|
configs/recipes/networks/mono_depth_res_net.yaml
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
file: depth/MonoDepthResNet
|
3 |
+
encoder:
|
4 |
+
version: 18
|
5 |
+
pretrained: True
|
6 |
+
num_rgb_in: 1
|
7 |
+
decoder:
|
8 |
+
use_skips: True
|
9 |
+
activation: sigmoid
|
10 |
+
num_ch_out: 1
|
configs/recipes/networks/multi_depth_res_net.yaml
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
depthformer:
|
2 |
+
file: depth/MultiDepthResNet
|
3 |
+
encoder:
|
4 |
+
version: 18
|
5 |
+
pretrained: True
|
6 |
+
input_shape: [192,640]
|
7 |
+
adaptive_bins: True
|
8 |
+
depth_range: [0.1,100.]
|
9 |
+
depth_bin_range: [0.1,100.0]
|
10 |
+
depth_binning: sid
|
11 |
+
num_depth_bins: 128
|
12 |
+
decoder:
|
13 |
+
use_skips: True
|
14 |
+
use_aux_depth: False
|
15 |
+
activation: sigmoid
|
16 |
+
num_ch_out: 1
|
17 |
+
depth_range: [0.1,100.]
|
configs/recipes/networks/packnet.yaml
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
file: depth/PackNet
|
3 |
+
encoder:
|
4 |
+
version: 18
|
5 |
+
pretrained: True
|
6 |
+
num_rgb_in: 1
|
7 |
+
decoder:
|
8 |
+
use_skips: True
|
9 |
+
activation: sigmoid
|
10 |
+
num_ch_out: 1
|
configs/recipes/networks/pose_net.yaml
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
file: pose/PoseNet
|
3 |
+
version: 18
|
4 |
+
pretrained: True
|
5 |
+
num_rgb_in: 2
|
configs/recipes/networks/transformer.yaml
ADDED
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
depthformer:
|
2 |
+
file: transformers/MatchModule
|
3 |
+
context_adjustment:
|
4 |
+
expansion_ratio: 4
|
5 |
+
feat_dim: 16
|
6 |
+
num_blocks: 8
|
7 |
+
channel_dim: 128
|
8 |
+
nheads: 8
|
9 |
+
num_attn_layers: 6
|
10 |
+
min_depth: 0.1
|
11 |
+
max_depth: 100.0
|
12 |
+
num_bins: 128
|
configs/recipes/optimizers.yaml
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
adam_20_05:
|
2 |
+
name: Adam
|
3 |
+
lr: 0.0001
|
4 |
+
scheduler:
|
5 |
+
name: StepLR
|
6 |
+
step_size: 20
|
7 |
+
gamma: 0.5
|
configs/recipes/save.yaml
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
depth_splitname:
|
2 |
+
folder: /data/vidar/save
|
3 |
+
naming: splitname
|
4 |
+
rgb: [tgt]
|
5 |
+
depth: [viz,npz]
|
configs/recipes/wandb.yaml
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
folder: /data/vidar/wandb
|
3 |
+
entity: tri
|
4 |
+
project: vidar
|
5 |
+
num_validation_logs: 5
|
configs/recipes/wrapper.yaml
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
default:
|
2 |
+
seed: 42
|
3 |
+
min_epochs: 0
|
4 |
+
max_epochs: 50
|
5 |
+
grad_scaler: False
|
6 |
+
find_unused_parameters: True
|
7 |
+
flip_lr_prob: 0.5
|
8 |
+
validate_first: True
|
9 |
+
validate_flipped: True
|
10 |
+
sync_batch_norm: True
|
data/generic/scene1/15616458296936490.jpg
ADDED
![]() |
data/generic/scene1/15616458297936490.jpg
ADDED
![]() |
data/generic/scene1/15616458298936492.jpg
ADDED
![]() |
data/generic/scene1/15616458299936482.jpg
ADDED
![]() |
data/generic/scene1/15616458300936480.jpg
ADDED
![]() |
data/masks/ddad/01.png
ADDED
![]() |
Git LFS Details
|
data/masks/ddad/05.png
ADDED
![]() |
Git LFS Details
|
data/masks/ddad/06.png
ADDED
![]() |
Git LFS Details
|
data/masks/ddad/07.png
ADDED
![]() |
Git LFS Details
|