aletrn commited on
Commit
b559f1b
·
1 Parent(s): 4b32a92

[feat] update samgis_core to version 2.0.0, bump to version 1.5.1

Browse files
.idea/misc.xml CHANGED
@@ -3,5 +3,5 @@
3
  <component name="Black">
4
  <option name="sdkName" value="Python 3.11 (samgis)" />
5
  </component>
6
- <component name="ProjectRootManager" version="2" project-jdk-name="Poetry (samgis)" project-jdk-type="Python SDK" />
7
  </project>
 
3
  <component name="Black">
4
  <option name="sdkName" value="Python 3.11 (samgis)" />
5
  </component>
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+ <component name="ProjectRootManager" version="2" project-jdk-name="Poetry (samgis_core)" project-jdk-type="Python SDK" />
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  </project>
Dockerfile CHANGED
@@ -1,4 +1,4 @@
1
- FROM registry.gitlab.com/aletrn/gis-prediction:1.5.0
2
 
3
  # Include global arg in this stage of the build
4
  ARG WORKDIR_ROOT="/var/task"
@@ -14,7 +14,7 @@ WORKDIR ${WORKDIR_ROOT}
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  COPY samgis ${WORKDIR_ROOT}/samgis
15
  COPY wrappers ${WORKDIR_ROOT}/wrappers
16
  COPY pyproject.toml poetry.lock README.md ${WORKDIR_ROOT}
17
- RUN . ${WORKDIR_ROOT}/.venv && which python && echo "# install samgis #" && pip install .
18
  RUN mkdir {WRITE_TMP_ON_DISK}
19
  RUN ls -l {WRITE_TMP_ON_DISK}
20
 
@@ -29,7 +29,6 @@ RUN ls -l ${WORKDIR_ROOT}
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  RUN ls -ld ${WORKDIR_ROOT}
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  RUN ls -l ${WORKDIR_ROOT}/machine_learning_models
31
  RUN python -c "import sys; print(sys.path)"
32
- RUN python -c "import cv2"
33
  RUN python -c "import fastapi"
34
  RUN python -c "import geopandas"
35
  RUN python -c "import loguru"
 
1
+ FROM registry.gitlab.com/aletrn/gis-prediction:1.5.1
2
 
3
  # Include global arg in this stage of the build
4
  ARG WORKDIR_ROOT="/var/task"
 
14
  COPY samgis ${WORKDIR_ROOT}/samgis
15
  COPY wrappers ${WORKDIR_ROOT}/wrappers
16
  COPY pyproject.toml poetry.lock README.md ${WORKDIR_ROOT}
17
+ RUN . ${WORKDIR_ROOT}/.venv && which python && echo "# install samgis #" && pip install .
18
  RUN mkdir {WRITE_TMP_ON_DISK}
19
  RUN ls -l {WRITE_TMP_ON_DISK}
20
 
 
29
  RUN ls -ld ${WORKDIR_ROOT}
30
  RUN ls -l ${WORKDIR_ROOT}/machine_learning_models
31
  RUN python -c "import sys; print(sys.path)"
 
32
  RUN python -c "import fastapi"
33
  RUN python -c "import geopandas"
34
  RUN python -c "import loguru"
poetry.lock CHANGED
@@ -1,4 +1,4 @@
1
- # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
2
 
3
  [[package]]
4
  name = "affine"
@@ -139,13 +139,13 @@ simplejson = "3.18.4"
139
 
140
  [[package]]
141
  name = "babel"
142
- version = "2.14.0"
143
  description = "Internationalization utilities"
144
  optional = false
145
- python-versions = ">=3.7"
146
  files = [
147
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149
  ]
150
 
151
  [package.extras]
@@ -437,63 +437,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
437
 
438
  [[package]]
439
  name = "coverage"
440
- version = "7.5.0"
441
  description = "Code coverage measurement for Python"
442
  optional = false
443
  python-versions = ">=3.8"
444
  files = [
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492
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493
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494
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495
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497
  ]
498
 
499
  [package.dependencies]
@@ -555,13 +555,13 @@ test = ["pytest (>=6)"]
555
 
556
  [[package]]
557
  name = "fastapi"
558
- version = "0.110.2"
559
  description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
560
  optional = false
561
  python-versions = ">=3.8"
562
  files = [
563
- {file = "fastapi-0.110.2-py3-none-any.whl", hash = "sha256:239403f2c0a3dda07a9420f95157a7f014ddb2b770acdbc984f9bdf3ead7afdb"},
564
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565
  ]
566
 
567
  [package.dependencies]
@@ -570,7 +570,7 @@ starlette = ">=0.37.2,<0.38.0"
570
  typing-extensions = ">=4.8.0"
571
 
572
  [package.extras]
573
- all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
574
 
575
  [[package]]
576
  name = "fiona"
@@ -708,17 +708,18 @@ files = [
708
 
709
  [[package]]
710
  name = "geopandas"
711
- version = "0.14.3"
712
  description = "Geographic pandas extensions"
713
  optional = false
714
  python-versions = ">=3.9"
715
  files = [
716
- {file = "geopandas-0.14.3-py3-none-any.whl", hash = "sha256:41b31ad39e21bc9e8c4254f78f8dc4ce3d33d144e22e630a00bb336c83160204"},
717
- {file = "geopandas-0.14.3.tar.gz", hash = "sha256:748af035d4a068a4ae00cab384acb61d387685c833b0022e0729aa45216b23ac"},
718
  ]
719
 
720
  [package.dependencies]
721
  fiona = ">=1.8.21"
 
722
  packaging = "*"
723
  pandas = ">=1.4.0"
724
  pyproj = ">=3.3.0"
@@ -852,13 +853,13 @@ files = [
852
 
853
  [[package]]
854
  name = "jinja2"
855
- version = "3.1.3"
856
  description = "A very fast and expressive template engine."
857
  optional = false
858
  python-versions = ">=3.7"
859
  files = [
860
- {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
861
- {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
862
  ]
863
 
864
  [package.dependencies]
@@ -880,24 +881,24 @@ files = [
880
 
881
  [[package]]
882
  name = "joblib"
883
- version = "1.4.0"
884
  description = "Lightweight pipelining with Python functions"
885
  optional = false
886
  python-versions = ">=3.8"
887
  files = [
888
- {file = "joblib-1.4.0-py3-none-any.whl", hash = "sha256:42942470d4062537be4d54c83511186da1fc14ba354961a2114da91efa9a4ed7"},
889
- {file = "joblib-1.4.0.tar.gz", hash = "sha256:1eb0dc091919cd384490de890cb5dfd538410a6d4b3b54eef09fb8c50b409b1c"},
890
  ]
891
 
892
  [[package]]
893
  name = "jsonschema"
894
- version = "4.21.1"
895
  description = "An implementation of JSON Schema validation for Python"
896
  optional = false
897
  python-versions = ">=3.8"
898
  files = [
899
- {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
900
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901
  ]
902
 
903
  [package.dependencies]
@@ -1198,13 +1199,13 @@ python-dateutil = ">=2.7"
1198
 
1199
  [[package]]
1200
  name = "mdit-py-plugins"
1201
- version = "0.4.0"
1202
  description = "Collection of plugins for markdown-it-py"
1203
  optional = false
1204
  python-versions = ">=3.8"
1205
  files = [
1206
- {file = "mdit_py_plugins-0.4.0-py3-none-any.whl", hash = "sha256:b51b3bb70691f57f974e257e367107857a93b36f322a9e6d44ca5bf28ec2def9"},
1207
- {file = "mdit_py_plugins-0.4.0.tar.gz", hash = "sha256:d8ab27e9aed6c38aa716819fedfde15ca275715955f8a185a8e1cf90fb1d2c1b"},
1208
  ]
1209
 
1210
  [package.dependencies]
@@ -1379,35 +1380,36 @@ files = [
1379
 
1380
  [[package]]
1381
  name = "onnxruntime"
1382
- version = "1.16.3"
1383
  description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
1384
  optional = false
1385
  python-versions = "*"
1386
  files = [
1387
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1411
  ]
1412
 
1413
  [package.dependencies]
@@ -1418,29 +1420,6 @@ packaging = "*"
1418
  protobuf = "*"
1419
  sympy = "*"
1420
 
1421
- [[package]]
1422
- name = "opencv-python-headless"
1423
- version = "4.8.1.78"
1424
- description = "Wrapper package for OpenCV python bindings."
1425
- optional = false
1426
- python-versions = ">=3.6"
1427
- files = [
1428
- {file = "opencv-python-headless-4.8.1.78.tar.gz", hash = "sha256:bc7197b42352f6f865c302a49140b889ec7cd957dd697e2d7fc016ad0d3f28f1"},
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1434
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1435
- ]
1436
-
1437
- [package.dependencies]
1438
- numpy = [
1439
- {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
1440
- {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
1441
- {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
1442
- ]
1443
-
1444
  [[package]]
1445
  name = "packaging"
1446
  version = "24.0"
@@ -1768,17 +1747,16 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
1768
 
1769
  [[package]]
1770
  name = "pygments"
1771
- version = "2.17.2"
1772
  description = "Pygments is a syntax highlighting package written in Python."
1773
  optional = false
1774
- python-versions = ">=3.7"
1775
  files = [
1776
- {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
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- {file = "pygments-2.17.2.tar.gz", hash = "sha256:da46cec9fd2de5be3a8a784f434e4c4ab670b4ff54d605c4c2717e9d49c4c367"},
1778
  ]
1779
 
1780
  [package.extras]
1781
- plugins = ["importlib-metadata"]
1782
  windows-terminal = ["colorama (>=0.4.6)"]
1783
 
1784
  [[package]]
@@ -2035,13 +2013,13 @@ test = ["boto3 (>=1.2.4)", "hypothesis", "packaging", "pytest (>=2.8.2)", "pytes
2035
 
2036
  [[package]]
2037
  name = "referencing"
2038
- version = "0.35.0"
2039
  description = "JSON Referencing + Python"
2040
  optional = false
2041
  python-versions = ">=3.8"
2042
  files = [
2043
- {file = "referencing-0.35.0-py3-none-any.whl", hash = "sha256:8080727b30e364e5783152903672df9b6b091c926a146a759080b62ca3126cd6"},
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2045
  ]
2046
 
2047
  [package.dependencies]
@@ -2071,121 +2049,121 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
2071
 
2072
  [[package]]
2073
  name = "rpds-py"
2074
- version = "0.18.0"
2075
  description = "Python bindings to Rust's persistent data structures (rpds)"
2076
  optional = false
2077
  python-versions = ">=3.8"
2078
  files = [
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2178
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2179
 
2180
  [[package]]
2181
  name = "samgis-core"
2182
- version = "1.2.1"
2183
  description = "SamGIS CORE"
2184
  optional = false
2185
  python-versions = "<3.12,>=3.10"
2186
  files = [
2187
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2189
  ]
2190
 
2191
  [package.dependencies]
@@ -2195,8 +2173,7 @@ numpy = [
2195
  {version = "1.25.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
2196
  {version = ">=1.26,<2.0", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
2197
  ]
2198
- onnxruntime = "1.16.3"
2199
- opencv-python-headless = "4.8.1.78"
2200
  pillow = ">=10.2.0,<11.0.0"
2201
 
2202
  [[package]]
@@ -2765,4 +2742,4 @@ files = [
2765
  [metadata]
2766
  lock-version = "2.0"
2767
  python-versions = ">=3.10, <3.12"
2768
- content-hash = "0cef7b32593815ccff013e624ff377460e5c4563daa3c15621a6c0a7e27c4f64"
 
1
+ # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
2
 
3
  [[package]]
4
  name = "affine"
 
139
 
140
  [[package]]
141
  name = "babel"
142
+ version = "2.15.0"
143
  description = "Internationalization utilities"
144
  optional = false
145
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146
  files = [
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149
  ]
150
 
151
  [package.extras]
 
437
 
438
  [[package]]
439
  name = "coverage"
440
+ version = "7.5.1"
441
  description = "Code coverage measurement for Python"
442
  optional = false
443
  python-versions = ">=3.8"
444
  files = [
445
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466
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467
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468
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469
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470
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471
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472
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473
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474
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475
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476
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477
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478
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479
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480
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481
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482
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483
+ {file = "coverage-7.5.1-cp38-cp38-win32.whl", hash = "sha256:1434e088b41594baa71188a17533083eabf5609e8e72f16ce8c186001e6b8c41"},
484
+ {file = "coverage-7.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:0646599e9b139988b63704d704af8e8df7fa4cbc4a1f33df69d97f36cb0a38de"},
485
+ {file = "coverage-7.5.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4cc37def103a2725bc672f84bd939a6fe4522310503207aae4d56351644682f1"},
486
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487
+ {file = "coverage-7.5.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d0a0f5e06881ecedfe6f3dd2f56dcb057b6dbeb3327fd32d4b12854df36bf26"},
488
+ {file = "coverage-7.5.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9735317685ba6ec7e3754798c8871c2f49aa5e687cc794a0b1d284b2389d1bd5"},
489
+ {file = "coverage-7.5.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d21918e9ef11edf36764b93101e2ae8cc82aa5efdc7c5a4e9c6c35a48496d601"},
490
+ {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:c3e757949f268364b96ca894b4c342b41dc6f8f8b66c37878aacef5930db61be"},
491
+ {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:79afb6197e2f7f60c4824dd4b2d4c2ec5801ceb6ba9ce5d2c3080e5660d51a4f"},
492
+ {file = "coverage-7.5.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d1d0d98d95dd18fe29dc66808e1accf59f037d5716f86a501fc0256455219668"},
493
+ {file = "coverage-7.5.1-cp39-cp39-win32.whl", hash = "sha256:1cc0fe9b0b3a8364093c53b0b4c0c2dd4bb23acbec4c9240b5f284095ccf7981"},
494
+ {file = "coverage-7.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:dde0070c40ea8bb3641e811c1cfbf18e265d024deff6de52c5950677a8fb1e0f"},
495
+ {file = "coverage-7.5.1-pp38.pp39.pp310-none-any.whl", hash = "sha256:6537e7c10cc47c595828b8a8be04c72144725c383c4702703ff4e42e44577312"},
496
+ {file = "coverage-7.5.1.tar.gz", hash = "sha256:54de9ef3a9da981f7af93eafde4ede199e0846cd819eb27c88e2b712aae9708c"},
497
  ]
498
 
499
  [package.dependencies]
 
555
 
556
  [[package]]
557
  name = "fastapi"
558
+ version = "0.110.3"
559
  description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
560
  optional = false
561
  python-versions = ">=3.8"
562
  files = [
563
+ {file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"},
564
+ {file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"},
565
  ]
566
 
567
  [package.dependencies]
 
570
  typing-extensions = ">=4.8.0"
571
 
572
  [package.extras]
573
+ all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
574
 
575
  [[package]]
576
  name = "fiona"
 
708
 
709
  [[package]]
710
  name = "geopandas"
711
+ version = "0.14.4"
712
  description = "Geographic pandas extensions"
713
  optional = false
714
  python-versions = ">=3.9"
715
  files = [
716
+ {file = "geopandas-0.14.4-py3-none-any.whl", hash = "sha256:3bb6473cb59d51e1a7fe2dbc24a1a063fb0ebdeddf3ce08ddbf8c7ddc99689aa"},
717
+ {file = "geopandas-0.14.4.tar.gz", hash = "sha256:56765be9d58e2c743078085db3bd07dc6be7719f0dbe1dfdc1d705cb80be7c25"},
718
  ]
719
 
720
  [package.dependencies]
721
  fiona = ">=1.8.21"
722
+ numpy = ">=1.22"
723
  packaging = "*"
724
  pandas = ">=1.4.0"
725
  pyproj = ">=3.3.0"
 
853
 
854
  [[package]]
855
  name = "jinja2"
856
+ version = "3.1.4"
857
  description = "A very fast and expressive template engine."
858
  optional = false
859
  python-versions = ">=3.7"
860
  files = [
861
+ {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
862
+ {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
863
  ]
864
 
865
  [package.dependencies]
 
881
 
882
  [[package]]
883
  name = "joblib"
884
+ version = "1.4.2"
885
  description = "Lightweight pipelining with Python functions"
886
  optional = false
887
  python-versions = ">=3.8"
888
  files = [
889
+ {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
890
+ {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
891
  ]
892
 
893
  [[package]]
894
  name = "jsonschema"
895
+ version = "4.22.0"
896
  description = "An implementation of JSON Schema validation for Python"
897
  optional = false
898
  python-versions = ">=3.8"
899
  files = [
900
+ {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
901
+ {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
902
  ]
903
 
904
  [package.dependencies]
 
1199
 
1200
  [[package]]
1201
  name = "mdit-py-plugins"
1202
+ version = "0.4.1"
1203
  description = "Collection of plugins for markdown-it-py"
1204
  optional = false
1205
  python-versions = ">=3.8"
1206
  files = [
1207
+ {file = "mdit_py_plugins-0.4.1-py3-none-any.whl", hash = "sha256:1020dfe4e6bfc2c79fb49ae4e3f5b297f5ccd20f010187acc52af2921e27dc6a"},
1208
+ {file = "mdit_py_plugins-0.4.1.tar.gz", hash = "sha256:834b8ac23d1cd60cec703646ffd22ae97b7955a6d596eb1d304be1e251ae499c"},
1209
  ]
1210
 
1211
  [package.dependencies]
 
1380
 
1381
  [[package]]
1382
  name = "onnxruntime"
1383
+ version = "1.17.3"
1384
  description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
1385
  optional = false
1386
  python-versions = "*"
1387
  files = [
1388
+ {file = "onnxruntime-1.17.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:d86dde9c0bb435d709e51bd25991c9fe5b9a5b168df45ce119769edc4d198b15"},
1389
+ {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9d87b68bf931ac527b2d3c094ead66bb4381bac4298b65f46c54fe4d1e255865"},
1390
+ {file = "onnxruntime-1.17.3-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:26e950cf0333cf114a155f9142e71da344d2b08dfe202763a403ae81cc02ebd1"},
1391
+ {file = "onnxruntime-1.17.3-cp310-cp310-win32.whl", hash = "sha256:0962a4d0f5acebf62e1f0bf69b6e0adf16649115d8de854c1460e79972324d68"},
1392
+ {file = "onnxruntime-1.17.3-cp310-cp310-win_amd64.whl", hash = "sha256:468ccb8a0faa25c681a41787b1594bf4448b0252d3efc8b62fd8b2411754340f"},
1393
+ {file = "onnxruntime-1.17.3-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:e8cd90c1c17d13d47b89ab076471e07fb85467c01dcd87a8b8b5cdfbcb40aa51"},
1394
+ {file = "onnxruntime-1.17.3-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a058b39801baefe454eeb8acf3ada298c55a06a4896fafc224c02d79e9037f60"},
1395
+ {file = "onnxruntime-1.17.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2f823d5eb4807007f3da7b27ca972263df6a1836e6f327384eb266274c53d05d"},
1396
+ {file = "onnxruntime-1.17.3-cp311-cp311-win32.whl", hash = "sha256:b66b23f9109e78ff2791628627a26f65cd335dcc5fbd67ff60162733a2f7aded"},
1397
+ {file = "onnxruntime-1.17.3-cp311-cp311-win_amd64.whl", hash = "sha256:570760ca53a74cdd751ee49f13de70d1384dcf73d9888b8deac0917023ccda6d"},
1398
+ {file = "onnxruntime-1.17.3-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:77c318178d9c16e9beadd9a4070d8aaa9f57382c3f509b01709f0f010e583b99"},
1399
+ {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23da8469049b9759082e22c41a444f44a520a9c874b084711b6343672879f50b"},
1400
+ {file = "onnxruntime-1.17.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2949730215af3f9289008b2e31e9bbef952012a77035b911c4977edea06f3f9e"},
1401
+ {file = "onnxruntime-1.17.3-cp312-cp312-win32.whl", hash = "sha256:6c7555a49008f403fb3b19204671efb94187c5085976ae526cb625f6ede317bc"},
1402
+ {file = "onnxruntime-1.17.3-cp312-cp312-win_amd64.whl", hash = "sha256:58672cf20293a1b8a277a5c6c55383359fcdf6119b2f14df6ce3b140f5001c39"},
1403
+ {file = "onnxruntime-1.17.3-cp38-cp38-macosx_11_0_universal2.whl", hash = "sha256:4395ba86e3c1e93c794a00619ef1aec597ab78f5a5039f3c6d2e9d0695c0a734"},
1404
+ {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdf354c04344ec38564fc22394e1fe08aa6d70d790df00159205a0055c4a4d3f"},
1405
+ {file = "onnxruntime-1.17.3-cp38-cp38-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a94b600b7af50e922d44b95a57981e3e35103c6e3693241a03d3ca204740bbda"},
1406
+ {file = "onnxruntime-1.17.3-cp38-cp38-win32.whl", hash = "sha256:5a335c76f9c002a8586c7f38bc20fe4b3725ced21f8ead835c3e4e507e42b2ab"},
1407
+ {file = "onnxruntime-1.17.3-cp38-cp38-win_amd64.whl", hash = "sha256:8f56a86fbd0ddc8f22696ddeda0677b041381f4168a2ca06f712ef6ec6050d6d"},
1408
+ {file = "onnxruntime-1.17.3-cp39-cp39-macosx_11_0_universal2.whl", hash = "sha256:e0ae39f5452278cd349520c296e7de3e90d62dc5b0157c6868e2748d7f28b871"},
1409
+ {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3ff2dc012bd930578aff5232afd2905bf16620815f36783a941aafabf94b3702"},
1410
+ {file = "onnxruntime-1.17.3-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:cf6c37483782e4785019b56e26224a25e9b9a35b849d0169ce69189867a22bb1"},
1411
+ {file = "onnxruntime-1.17.3-cp39-cp39-win32.whl", hash = "sha256:351bf5a1140dcc43bfb8d3d1a230928ee61fcd54b0ea664c8e9a889a8e3aa515"},
1412
+ {file = "onnxruntime-1.17.3-cp39-cp39-win_amd64.whl", hash = "sha256:57a3de15778da8d6cc43fbf6cf038e1e746146300b5f0b1fbf01f6f795dc6440"},
1413
  ]
1414
 
1415
  [package.dependencies]
 
1420
  protobuf = "*"
1421
  sympy = "*"
1422
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1423
  [[package]]
1424
  name = "packaging"
1425
  version = "24.0"
 
1747
 
1748
  [[package]]
1749
  name = "pygments"
1750
+ version = "2.18.0"
1751
  description = "Pygments is a syntax highlighting package written in Python."
1752
  optional = false
1753
+ python-versions = ">=3.8"
1754
  files = [
1755
+ {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
1756
+ {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
1757
  ]
1758
 
1759
  [package.extras]
 
1760
  windows-terminal = ["colorama (>=0.4.6)"]
1761
 
1762
  [[package]]
 
2013
 
2014
  [[package]]
2015
  name = "referencing"
2016
+ version = "0.35.1"
2017
  description = "JSON Referencing + Python"
2018
  optional = false
2019
  python-versions = ">=3.8"
2020
  files = [
2021
+ {file = "referencing-0.35.1-py3-none-any.whl", hash = "sha256:eda6d3234d62814d1c64e305c1331c9a3a6132da475ab6382eaa997b21ee75de"},
2022
+ {file = "referencing-0.35.1.tar.gz", hash = "sha256:25b42124a6c8b632a425174f24087783efb348a6f1e0008e63cd4466fedf703c"},
2023
  ]
2024
 
2025
  [package.dependencies]
 
2049
 
2050
  [[package]]
2051
  name = "rpds-py"
2052
+ version = "0.18.1"
2053
  description = "Python bindings to Rust's persistent data structures (rpds)"
2054
  optional = false
2055
  python-versions = ">=3.8"
2056
  files = [
2057
+ {file = "rpds_py-0.18.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:d31dea506d718693b6b2cffc0648a8929bdc51c70a311b2770f09611caa10d53"},
2058
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+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6afd80f6c79893cfc0574956f78a0add8c76e3696f2d6a15bca2c66c415cf2d4"},
2147
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fa242ac1ff583e4ec7771141606aafc92b361cd90a05c30d93e343a0c2d82a89"},
2148
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d21be4770ff4e08698e1e8e0bce06edb6ea0626e7c8f560bc08222880aca6a6f"},
2149
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5c45a639e93a0c5d4b788b2613bd637468edd62f8f95ebc6fcc303d58ab3f0a8"},
2150
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:910e71711d1055b2768181efa0a17537b2622afeb0424116619817007f8a2b10"},
2151
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b9bb1f182a97880f6078283b3505a707057c42bf55d8fca604f70dedfdc0772a"},
2152
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:1d54f74f40b1f7aaa595a02ff42ef38ca654b1469bef7d52867da474243cc633"},
2153
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:8d2e182c9ee01135e11e9676e9a62dfad791a7a467738f06726872374a83db49"},
2154
+ {file = "rpds_py-0.18.1-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:636a15acc588f70fda1661234761f9ed9ad79ebed3f2125d44be0862708b666e"},
2155
+ {file = "rpds_py-0.18.1.tar.gz", hash = "sha256:dc48b479d540770c811fbd1eb9ba2bb66951863e448efec2e2c102625328e92f"},
2156
  ]
2157
 
2158
  [[package]]
2159
  name = "samgis-core"
2160
+ version = "2.0.0"
2161
  description = "SamGIS CORE"
2162
  optional = false
2163
  python-versions = "<3.12,>=3.10"
2164
  files = [
2165
+ {file = "samgis_core-2.0.0-py3-none-any.whl", hash = "sha256:6ac834513e08bb6e3f82a2c71f6054c14a7f7a798e0567595640005151cfdf0e"},
2166
+ {file = "samgis_core-2.0.0.tar.gz", hash = "sha256:6bf43998fe1aa0c5dc49133d3a828600dade11c251610064d91ea95195a776df"},
2167
  ]
2168
 
2169
  [package.dependencies]
 
2173
  {version = "1.25.2", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
2174
  {version = ">=1.26,<2.0", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
2175
  ]
2176
+ onnxruntime = "1.17.3"
 
2177
  pillow = ">=10.2.0,<11.0.0"
2178
 
2179
  [[package]]
 
2742
  [metadata]
2743
  lock-version = "2.0"
2744
  python-versions = ">=3.10, <3.12"
2745
+ content-hash = "b15223892c1d17e062cf1ab482b60da4b42a95ccfe57486290622fb81708f38d"
pyproject.toml CHANGED
@@ -1,6 +1,6 @@
1
  [tool.poetry]
2
  name = "samgis"
3
- version = "1.5.0"
4
  description = "A backend for machine learning instance segmentation on geospatial data even without dedicated graphics cards."
5
  authors = ["alessandro trinca tornidor <[email protected]>"]
6
  license = "MIT license"
@@ -8,7 +8,7 @@ readme = "README.md"
8
 
9
  [metadata]
10
  name = "samgis"
11
- version = "1.5.0"
12
 
13
  [tool.poetry.urls]
14
  Source = "https://github.com/trincadev/samgis-be"
@@ -23,14 +23,12 @@ numpy = [
23
  {version = "1.25.2", python = "~3.10"},
24
  {version = "^1.26", python = "~3.11"}
25
  ]
26
- onnxruntime = "1.16.3"
27
- opencv-python-headless = "^4.8.1.78"
28
  pillow = "^10.2.0"
29
  python = ">=3.10, <3.12"
30
  python-dotenv = "^1.0.1"
31
  rasterio = "^1.3.9"
32
  requests = "^2.31.0"
33
- samgis-core = "~1.2.0"
34
 
35
  [tool.poetry.group.aws_lambda]
36
  optional = true
 
1
  [tool.poetry]
2
  name = "samgis"
3
+ version = "1.5.1"
4
  description = "A backend for machine learning instance segmentation on geospatial data even without dedicated graphics cards."
5
  authors = ["alessandro trinca tornidor <[email protected]>"]
6
  license = "MIT license"
 
8
 
9
  [metadata]
10
  name = "samgis"
11
+ version = "1.5.1"
12
 
13
  [tool.poetry.urls]
14
  Source = "https://github.com/trincadev/samgis-be"
 
23
  {version = "1.25.2", python = "~3.10"},
24
  {version = "^1.26", python = "~3.11"}
25
  ]
 
 
26
  pillow = "^10.2.0"
27
  python = ">=3.10, <3.12"
28
  python-dotenv = "^1.0.1"
29
  rasterio = "^1.3.9"
30
  requests = "^2.31.0"
31
+ samgis-core = "~2.0.0"
32
 
33
  [tool.poetry.group.aws_lambda]
34
  optional = true
samgis/prediction_api/predictors.py CHANGED
@@ -7,13 +7,14 @@ from samgis.io.geo_helpers import get_vectorized_raster_as_geojson
7
  from samgis.io.raster_helpers import get_raster_terrain_rgb_like, get_rgb_prediction_image, write_raster_png, write_raster_tiff
8
  from samgis.io.tms2geotiff import download_extent
9
  from samgis.io.wrappers_helpers import check_source_type_is_terrain
10
- from samgis.utilities.constants import DEFAULT_URL_TILES, SLOPE_CELLSIZE
11
- from samgis_core.prediction_api.sam_onnx import SegmentAnythingONNX, get_raster_inference_with_embedding_from_dict
 
12
  from samgis_core.utilities.constants import MODEL_ENCODER_NAME, MODEL_DECODER_NAME, DEFAULT_INPUT_SHAPE
13
  from samgis_core.utilities.type_hints import LlistFloat, DictStrInt, ListDict
14
 
15
 
16
- models_dict = {"fastsam": {"instance": None}}
17
  embedding_dict = {}
18
  msg_write_tmp_on_disk = "found option to write images and geojson output..."
19
 
@@ -22,7 +23,7 @@ def samexporter_predict(
22
  bbox: LlistFloat,
23
  prompt: ListDict,
24
  zoom: float,
25
- model_name: str = "fastsam",
26
  source: str = DEFAULT_URL_TILES,
27
  source_name: str = None
28
  ) -> DictStrInt:
@@ -47,7 +48,7 @@ def samexporter_predict(
47
  """
48
  if models_dict[model_name]["instance"] is None:
49
  app_logger.info(f"missing instance model {model_name}, instantiating it now!")
50
- model_instance = SegmentAnythingONNX(
51
  encoder_model_path=MODEL_FOLDER / MODEL_ENCODER_NAME,
52
  decoder_model_path=MODEL_FOLDER / MODEL_DECODER_NAME
53
  )
 
7
  from samgis.io.raster_helpers import get_raster_terrain_rgb_like, get_rgb_prediction_image, write_raster_png, write_raster_tiff
8
  from samgis.io.tms2geotiff import download_extent
9
  from samgis.io.wrappers_helpers import check_source_type_is_terrain
10
+ from samgis.utilities.constants import DEFAULT_URL_TILES, MODEL_NAME, SLOPE_CELLSIZE
11
+ from samgis_core.prediction_api.sam_onnx2 import SegmentAnythingONNX2
12
+ from samgis_core.prediction_api.sam_onnx_inference import get_raster_inference_with_embedding_from_dict
13
  from samgis_core.utilities.constants import MODEL_ENCODER_NAME, MODEL_DECODER_NAME, DEFAULT_INPUT_SHAPE
14
  from samgis_core.utilities.type_hints import LlistFloat, DictStrInt, ListDict
15
 
16
 
17
+ models_dict = {MODEL_NAME: {"instance": None}}
18
  embedding_dict = {}
19
  msg_write_tmp_on_disk = "found option to write images and geojson output..."
20
 
 
23
  bbox: LlistFloat,
24
  prompt: ListDict,
25
  zoom: float,
26
+ model_name: str = MODEL_NAME,
27
  source: str = DEFAULT_URL_TILES,
28
  source_name: str = None
29
  ) -> DictStrInt:
 
48
  """
49
  if models_dict[model_name]["instance"] is None:
50
  app_logger.info(f"missing instance model {model_name}, instantiating it now!")
51
+ model_instance = SegmentAnythingONNX2(
52
  encoder_model_path=MODEL_FOLDER / MODEL_ENCODER_NAME,
53
  decoder_model_path=MODEL_FOLDER / MODEL_DECODER_NAME
54
  )
samgis/utilities/constants.py CHANGED
@@ -1,4 +1,7 @@
1
  """Project constants"""
 
 
 
2
  INPUT_CRS_STRING = "EPSG:4326"
3
  OUTPUT_CRS_STRING = "EPSG:3857"
4
  DRIVER_RASTERIO_GTIFF = "GTiff"
@@ -38,3 +41,4 @@ RELATIVE_URL_TILES_NEXTZEN = "elevation-tiles-prod/terrarium/{z}/{x}/{y}.png" #
38
  COMPLETE_URL_TILES_NEXTZEN = f"https://{DOMAIN_URL_TILES_NEXTZEN}/{RELATIVE_URL_TILES_NEXTZEN}"
39
  CHANNEL_EXAGGERATIONS_LIST = [2.5, 1.1, 2.0]
40
  SLOPE_CELLSIZE = 61
 
 
1
  """Project constants"""
2
+ import os
3
+
4
+
5
  INPUT_CRS_STRING = "EPSG:4326"
6
  OUTPUT_CRS_STRING = "EPSG:3857"
7
  DRIVER_RASTERIO_GTIFF = "GTiff"
 
41
  COMPLETE_URL_TILES_NEXTZEN = f"https://{DOMAIN_URL_TILES_NEXTZEN}/{RELATIVE_URL_TILES_NEXTZEN}"
42
  CHANNEL_EXAGGERATIONS_LIST = [2.5, 1.1, 2.0]
43
  SLOPE_CELLSIZE = 61
44
+ MODEL_NAME = os.getenv("MODEL_NAME", "mobile_sam")