GeoEstimation (code, datasets, models)
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +19 -0
- Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII.pdf +3 -0
- code/GeoEstimation.zip +3 -0
- code/releases/pytorch/GeoEstimation-pytorch.zip +3 -0
- code/releases/pytorch/epoch.014-val_loss.18.4833.ckpt +3 -0
- code/releases/pytorch/hparams.yaml +38 -0
- code/releases/pytorch/info.txt +2 -0
- code/releases/pytorch/yfcc25600_places365.csv +0 -0
- code/releases/pytorch/yfcc25600_urls.csv +0 -0
- code/releases/v1.0/GeoEstimation-1.0.zip +3 -0
- code/releases/v1.0/ISN_M_indoor.tar.gz +3 -0
- code/releases/v1.0/ISN_M_natural.tar.gz +3 -0
- code/releases/v1.0/ISN_M_urban.tar.gz +3 -0
- code/releases/v1.0/base_L_m.tar.gz +3 -0
- code/releases/v1.0/base_M.tar.gz +3 -0
- code/releases/v1.0/info.txt +2 -0
- code/releases/v1.0/mp16_places365.csv +3 -0
- code/releases/v1.0/mp16_urls.csv +3 -0
- datasets/IM2GPS/2k_random_test.zip +3 -0
- datasets/IM2GPS/Flickr_code_2009_05_14.zip +3 -0
- datasets/IM2GPS/IM2GPS. Estimating geographic information from a single image.mkv +3 -0
- datasets/IM2GPS/IM2GPS. Estimating geographic information from a single image.pdf +3 -0
- datasets/IM2GPS/geo_uniform_test.zip +3 -0
- datasets/IM2GPS/gps_query_imgs.zip +3 -0
- datasets/IM2GPS/human_geolocation_test.zip +3 -0
- datasets/IM2GPS/im2gps_cvpr_poster3.ppt +3 -0
- datasets/IM2GPS/im2gps_vss.ppt +3 -0
- datasets/IM2GPS/revisiting-im2gps.zip +3 -0
- models/GeoEstimation-PyTorch/epoch.014-val_loss.18.4833.ckpt +3 -0
- models/GeoEstimation-PyTorch/hparams.yaml +38 -0
- models/GeoEstimation-PyTorch/source.txt +1 -0
- models/GeoEstimation-PyTorch/yfcc25600_places365.csv +0 -0
- models/GeoEstimation-PyTorch/yfcc25600_urls.csv +0 -0
- models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/cfg.json +4 -0
- models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.data-00000-of-00001 +3 -0
- models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.index +0 -0
- models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.meta +3 -0
- models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/cfg.json +4 -0
- models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/model.ckpt.data-00000-of-00001 +3 -0
- models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/model.ckpt.index +0 -0
- models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/model.ckpt.meta +3 -0
- models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/cfg.json +4 -0
- models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/model.ckpt.data-00000-of-00001 +3 -0
- models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/model.ckpt.index +0 -0
- models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/model.ckpt.meta +3 -0
- models/GeoEstimation-v1.0/base_L_m/base_L_m/cfg.json +4 -0
- models/GeoEstimation-v1.0/base_L_m/base_L_m/model.ckpt.data-00000-of-00001 +3 -0
- models/GeoEstimation-v1.0/base_L_m/base_L_m/model.ckpt.index +0 -0
- models/GeoEstimation-v1.0/base_L_m/base_L_m/model.ckpt.meta +3 -0
- models/GeoEstimation-v1.0/base_M/base_M/cfg.json +4 -0
.gitattributes
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@@ -33,3 +33,22 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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code/releases/v1.0/mp16_places365.csv filter=lfs diff=lfs merge=lfs -text
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code/releases/v1.0/mp16_urls.csv filter=lfs diff=lfs merge=lfs -text
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datasets/IM2GPS/im2gps_cvpr_poster3.ppt filter=lfs diff=lfs merge=lfs -text
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datasets/IM2GPS/im2gps_vss.ppt filter=lfs diff=lfs merge=lfs -text
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datasets/IM2GPS/IM2GPS.[[:space:]]Estimating[[:space:]]geographic[[:space:]]information[[:space:]]from[[:space:]]a[[:space:]]single[[:space:]]image.mkv filter=lfs diff=lfs merge=lfs -text
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datasets/IM2GPS/IM2GPS.[[:space:]]Estimating[[:space:]]geographic[[:space:]]information[[:space:]]from[[:space:]]a[[:space:]]single[[:space:]]image.pdf filter=lfs diff=lfs merge=lfs -text
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Geolocation[[:space:]]Estimation[[:space:]]of[[:space:]]Photos[[:space:]]Using[[:space:]]a[[:space:]]Hierarchical[[:space:]]Model[[:space:]]and[[:space:]]Scene[[:space:]]Classification[[:space:]]-[[:space:]]15th[[:space:]]European[[:space:]]Conference,[[:space:]]Munich,[[:space:]]Germany,[[:space:]]September[[:space:]]8-14,[[:space:]]2018,[[:space:]]Proceedings,[[:space:]]Part[[:space:]]XII.pdf filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/base_L_m/base_L_m/model.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/base_L_m/base_L_m/model.ckpt.meta filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/base_M/base_M/model.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/base_M/base_M/model.ckpt.meta filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.meta filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/model.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/model.ckpt.meta filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/model.ckpt.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/model.ckpt.meta filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/mp16_places365.csv filter=lfs diff=lfs merge=lfs -text
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models/GeoEstimation-v1.0/mp16_urls.csv filter=lfs diff=lfs merge=lfs -text
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Geolocation Estimation of Photos Using a Hierarchical Model and Scene Classification - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part XII.pdf
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code/GeoEstimation.zip
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code/releases/pytorch/GeoEstimation-pytorch.zip
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code/releases/pytorch/epoch.014-val_loss.18.4833.ckpt
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arch: resnet50
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batch_size: 128
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key_img_encoded: image
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key_img_id: id
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msgpack_train_dir: resources/images/mp16
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msgpack_val_dir: resources/images/yfcc25600
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num_workers_per_loader: 6
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optim:
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params:
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lr: 0.01
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momentum: 0.9
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weight_decay: 0.0001
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partitionings:
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files:
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- resources/s2_cells/cells_50_5000.csv
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ptype: default
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shortnames:
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- coarse
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- middle
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- fine
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scheduler:
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params:
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gamma: 0.5
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milestones:
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- 4
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train_label_mapping: resources/mp16_places365_mapping_h3.json
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train_meta_path: resources/mp16_places365.csv
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val_check_interval: 4000
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val_label_mapping: resources/yfcc_25600_places365_mapping_h3.json
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val_meta_path: resources/yfcc25600_places365.csv
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weights: null
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code/releases/pytorch/info.txt
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PyTorch base_M model (ResNet50) Latest
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Released: Dec 14, 2020
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code/releases/pytorch/yfcc25600_places365.csv
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code/releases/pytorch/yfcc25600_urls.csv
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code/releases/v1.0/GeoEstimation-1.0.zip
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Training metadata + models
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Released: Jul 25, 2018
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code/releases/v1.0/mp16_places365.csv
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datasets/IM2GPS/IM2GPS. Estimating geographic information from a single image.pdf
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oid sha256:175c668eff98b42ca40d26d302388fbe526148df83e2d0e865e3923ee652b12f
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| 3 |
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size 31149568
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datasets/IM2GPS/im2gps_vss.ppt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:3ee0fb776b5bc3a58890842bdb549e5e23b097f7beeffb76ad4701a6157258f6
|
| 3 |
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size 9336832
|
datasets/IM2GPS/revisiting-im2gps.zip
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a082154272f753915248aa150bcffee547f7122329864d65ef8fc6fbef109357
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| 3 |
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size 40729
|
models/GeoEstimation-PyTorch/epoch.014-val_loss.18.4833.ckpt
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 571821130
|
models/GeoEstimation-PyTorch/hparams.yaml
ADDED
|
@@ -0,0 +1,38 @@
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|
| 1 |
+
arch: resnet50
|
| 2 |
+
batch_size: 128
|
| 3 |
+
key_img_encoded: image
|
| 4 |
+
key_img_id: id
|
| 5 |
+
msgpack_train_dir: resources/images/mp16
|
| 6 |
+
msgpack_val_dir: resources/images/yfcc25600
|
| 7 |
+
num_workers_per_loader: 6
|
| 8 |
+
optim:
|
| 9 |
+
params:
|
| 10 |
+
lr: 0.01
|
| 11 |
+
momentum: 0.9
|
| 12 |
+
weight_decay: 0.0001
|
| 13 |
+
partitionings:
|
| 14 |
+
files:
|
| 15 |
+
- resources/s2_cells/cells_50_5000.csv
|
| 16 |
+
- resources/s2_cells/cells_50_2000.csv
|
| 17 |
+
- resources/s2_cells/cells_50_1000.csv
|
| 18 |
+
ptype: default
|
| 19 |
+
shortnames:
|
| 20 |
+
- coarse
|
| 21 |
+
- middle
|
| 22 |
+
- fine
|
| 23 |
+
scheduler:
|
| 24 |
+
params:
|
| 25 |
+
gamma: 0.5
|
| 26 |
+
milestones:
|
| 27 |
+
- 4
|
| 28 |
+
- 8
|
| 29 |
+
- 12
|
| 30 |
+
- 13
|
| 31 |
+
- 14
|
| 32 |
+
- 15
|
| 33 |
+
train_label_mapping: resources/mp16_places365_mapping_h3.json
|
| 34 |
+
train_meta_path: resources/mp16_places365.csv
|
| 35 |
+
val_check_interval: 4000
|
| 36 |
+
val_label_mapping: resources/yfcc_25600_places365_mapping_h3.json
|
| 37 |
+
val_meta_path: resources/yfcc25600_places365.csv
|
| 38 |
+
weights: null
|
models/GeoEstimation-PyTorch/source.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
https://github.com/TIBHannover/GeoEstimation/releases/tag/pytorch
|
models/GeoEstimation-PyTorch/yfcc25600_places365.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
models/GeoEstimation-PyTorch/yfcc25600_urls.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/cfg.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
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|
|
|
|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architecture": "resnet_v2_101_fine",
|
| 3 |
+
"partitionings": ["cells_50_5000.csv", "cells_50_2000.csv", "cells_50_1000.csv"]
|
| 4 |
+
}
|
models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.data-00000-of-00001
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 724079884
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models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.index
ADDED
|
Binary file (37.8 kB). View file
|
|
|
models/GeoEstimation-v1.0/ISN_M_indoor/ISN_M_indoor/model.ckpt.meta
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 10557023
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models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/cfg.json
ADDED
|
@@ -0,0 +1,4 @@
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
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"architecture": "resnet_v2_101_fine",
|
| 3 |
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"partitionings": ["cells_50_5000.csv", "cells_50_2000.csv", "cells_50_1000.csv"]
|
| 4 |
+
}
|
models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/model.ckpt.data-00000-of-00001
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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models/GeoEstimation-v1.0/ISN_M_natural/ISN_M_natural/model.ckpt.meta
ADDED
|
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version https://git-lfs.github.com/spec/v1
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models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/cfg.json
ADDED
|
@@ -0,0 +1,4 @@
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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"partitionings": ["cells_50_5000.csv", "cells_50_2000.csv", "cells_50_1000.csv"]
|
| 4 |
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}
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models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/model.ckpt.data-00000-of-00001
ADDED
|
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models/GeoEstimation-v1.0/ISN_M_urban/ISN_M_urban/model.ckpt.meta
ADDED
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models/GeoEstimation-v1.0/base_L_m/base_L_m/cfg.json
ADDED
|
@@ -0,0 +1,4 @@
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|
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| 1 |
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{
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| 2 |
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| 3 |
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"partitionings": ["cells_50_2000.csv"]
|
| 4 |
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}
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models/GeoEstimation-v1.0/base_L_m/base_L_m/model.ckpt.data-00000-of-00001
ADDED
|
@@ -0,0 +1,3 @@
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models/GeoEstimation-v1.0/base_L_m/base_L_m/model.ckpt.meta
ADDED
|
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ADDED
|
@@ -0,0 +1,4 @@
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|
|
|
|
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|
|
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|
| 1 |
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|
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|
| 3 |
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"partitionings": ["cells_50_5000.csv", "cells_50_2000.csv", "cells_50_1000.csv"]
|
| 4 |
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