Cleanup Dependencies

.github/workflows/examples.yml

@@ -48,12 +48,6 @@ jobs:
         shell: micromamba-shell {0}
         run: poetry install --no-interaction --without dev --with test
 
-      - name: Install lap (Hack)
-        shell: micromamba-shell {0}
-        run: |
-          pip install --upgrade pip
-          pip install lap
-
       - name: Check Installed Packages
         shell: micromamba-shell {0}
         run: pip list

.github/workflows/test.yml

@@ -45,12 +45,6 @@ jobs:
         shell: micromamba-shell {0}
         run: poetry install --no-interaction --without dev --with test
 
-      - name: Install lap (Hack)
-        shell: micromamba-shell {0}
-        run: |
-          pip install --upgrade pip
-          pip install lap
-
       - name: Check Installed Packages
         shell: micromamba-shell {0}
         run: pip list
@@ -128,12 +122,6 @@ jobs:
         shell: micromamba-shell {0}
         run: poetry install --no-interaction --without dev --with test
 
-      - name: Install lap (Hack)
-        shell: micromamba-shell {0}
-        run: |
-          pip install --upgrade pip
-          pip install lap
-
       - name: Check Installed Packages
         shell: micromamba-shell {0}
         run: pip list

README.md

@@ -76,7 +76,6 @@ mamba activate spatialyze
 
 # install python dependencies
 poetry install
-pip install lap  # a bug in lap/poetry/conda that lap needs to be installed using pip.
 ```
 
 ## Spatialyze Demo

pyproject.toml

@@ -8,34 +8,30 @@ authors = ["Your Name <you@example.com>"]
 python = "^3.10"
 pyquaternion = "^0.9.9"
 numpy = "^1.22.4"
-matplotlib = "^3.5.2"
 opencv-python = "^4.6.0"
 pandas = "^1.4.2"
 bitarray = "^2.6.0"
 tqdm = "^4.64.1"
 shapely = "^1.8.5.post1"
-plpygis = "^0.2.0"
 
 # MobilityDB
 psycopg2-binary = "^2.9.3"
 postgis = "^1.0.4"
-# python-mobilitydb = "^0.1.2"
 python-mobilitydb = "^0.1.3"
 
 [tool.poetry.group.cv.dependencies]
 torch = "^1.13.0"
 torchvision = "^0.14.0"
+matplotlib = "^3.5.2"
 scipy = "^1.4.1"
-easydict = "^1.10"
 gdown = "^4.7.1"
-cython-bbox = {git = "https://github.com/apperception-db/cython_bbox.git"}
 ultralytics = "^8.0.148"
+notebook = "^6.5.5"
 
 [tool.poetry.group.test.dependencies]
 pytest = "^7.4.0"
 coverage = "^7.2.7"
 pytest-cov = "^4.1.0"
-notebook = "^6.4.12"
 
 [tool.poetry.group.dev.dependencies]
 types-psycopg2 = "^2.9.16"

scripts/commit-and-push-if-latest.sh

@@ -1,4 +1,4 @@
-if ! git diff --exit-code site src test test-runtime; then
+if ! git diff --exit-code data evaluation spatialyze; then
   git add --all
   git config --global user.name 'Github Actions Bot'
   git config --global user.email 'spatialyze-actions-bot@users.noreply.github.com'

scripts/commit-and-push.sh

@@ -1,4 +1,4 @@
-if ! git diff --exit-code site src test test-runtime; then
+if ! git diff --exit-code data evaluation spatialyze; then
   git add --all
   git config --global user.name 'Github Actions Bot'
   git config --global user.email 'spatialyze-actions-bot@users.noreply.github.com'

scripts/import_tables.py

@@ -75,4 +75,5 @@ def _insert_into_general_bbox(database: "Database", value: tuple, commit=True):
     database._commit(commit)
 
 
-import_tables(database, './data/scenic/database')
+if __name__ == "__main__":
+    import_tables(database, './data/scenic/database')

spatialyze/utils/F/contained.py

@@ -1,3 +1,15 @@
-from .custom_fn import custom_fn
+from ...predicate import (
+    GenSqlVisitor,
+    ObjectTableNode,
+    PredicateNode,
+    call_node,
+    camera,
+)
 
-contained = custom_fn("contained", 2)
+
+@call_node
+def contained(visitor: "GenSqlVisitor", args: "list[PredicateNode]"):
+    object, region = args
+    if isinstance(object, ObjectTableNode):
+        object = object.traj @ camera.time
+    return f"contained({visitor(object)},{visitor(region)})"

spatialyze/video_processor/stages/detection_estimation/__init__.py

@@ -1,19 +1,16 @@
 import logging
 import time
-from typing import Callable, List, Tuple
+from typing import Callable, List
 
 import postgis
-import shapely
-import shapely.geometry
 import torch
 from bitarray import bitarray
 from psycopg2 import sql
 
-from spatialyze.database import database
-
+from ....database import database
 from ...camera_config import CameraConfig
 from ...payload import Payload
-from ...types import DetectionId
+from ...types import DetectionId, obj_detection
 from ...video import Video
 from ..detection_2d.detection_2d import Detection2D
 from ..detection_2d.detection_2d import Metadatum as D2DMetadatum
@@ -25,7 +22,6 @@
     SamplePlan,
     construct_all_detection_info,
     generate_sample_plan,
-    obj_detection,
 )
 from .utils import get_ego_avg_speed, trajectory_3d
 
@@ -61,7 +57,6 @@ def _run(self, payload: "Payload"):
             return keep, {DetectionEstimation.classname(): [[]] * len(keep)}
 
         ego_views = get_ego_views(payload)
-        ego_views = [shapely.wkb.loads(view.to_ewkb(), hex=True) for view in ego_views]
 
         skipped_frame_num = []
         next_frame_num = 0
@@ -219,10 +214,10 @@ def prune_detection(
 def generate_sample_plan_once(
     video: "Video",
     next_frame_num: "int",
-    ego_views: "list[shapely.geometry.Polygon]",
+    ego_views: "list[postgis.Polygon]",
     all_detection_info: "list[DetectionInfo] | None" = None,
     fps: "int" = 13,
-) -> "Tuple[SamplePlan, None]":
+) -> "tuple[SamplePlan, None]":
     assert all_detection_info is not None
     next_sample_plan = generate_sample_plan(
         video, next_frame_num, all_detection_info, ego_views, 50, fps=fps

spatialyze/video_processor/stages/detection_estimation/detection_estimation.py

@@ -16,26 +16,19 @@
 """
 
 import datetime
-import os
-import sys
 import time
 from dataclasses import dataclass, field
-from typing import Any, Tuple
-
-sys.path.append(os.path.abspath(os.path.join(os.getcwd(), os.pardir, os.pardir)))
 
+import postgis
 import shapely
 import shapely.geometry
 
 from ...camera_config import CameraConfig
-from ...types import DetectionId, obj_detection
+from ...types import DetectionId, Float2, Float3, Float22, obj_detection
 from ...video import Video
-from .optimized_segment_mapping import RoadPolygonInfo, get_detection_polygon_mapping
 from .sample_plan_algorithms import CAR_EXIT_SEGMENT, Action
+from .segment_mapping import RoadPolygonInfo, get_detection_polygon_mapping
 from .utils import (
-    Float2,
-    Float3,
-    Float22,
     get_car_exits_view_frame_num,
     get_segment_line,
     time_to_exit_current_segment,
@@ -52,7 +45,7 @@ class DetectionInfo:
     road_polygon_info: "RoadPolygonInfo"
     car_loc3d: "Float3"
     car_loc2d: "Float2"
-    car_bbox3d: "Tuple[Float3, Float3]"
+    car_bbox3d: "tuple[Float3, Float3]"
     car_bbox2d: "Float22"
     ego_trajectory: "list[trajectory_3d]"
     ego_config: "CameraConfig"
@@ -158,9 +151,8 @@ class SamplePlan:
     video: "Video"
     next_frame_num: int
     all_detection_info: "list[DetectionInfo]"
-    ego_views: "list[shapely.geometry.Polygon]"
+    ego_views: "list[postgis.Polygon]"
     fps: int = 12
-    metadata: Any = None
     current_priority: "float | None" = None
     action: "Action | None" = None
 
@@ -304,7 +296,7 @@ def generate_sample_plan(
     video: "Video",
     next_frame_num: int,
     all_detection_info: "list[DetectionInfo]",
-    ego_views: "list[shapely.geometry.Polygon]",
+    ego_views: "list[postgis.Polygon]",
     view_distance: float,
     fps: int = 12,
 ):