[Support]: can't figure out what's wrong

[jiiins]

Describe the problem you are having

I copied the example config and simply changed the camera name to reflect an existing HASS one, and adding it's valid snapshot URL.

Version

3.1.0-2717ec6

Swatch config file

# REQUIRED: Define a list of objects that are expected to be seen. These can be specific
# to one camera or common between many / all cameras
objects:
  # REQUIRED: Name of the object
  cancello1:
    # REQUIRED: the list of color variants that this object can be detected as. Useful for
    # different lighting conditions
    color_variants:
      # REQUIRED: the name of the color variant
      default:
        # REQUIRED: the lower R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_lower: 70, 70, 0
        # REQUIRED: the upper R, G, B values that are considered a potential match for the
        # color variant of the object.
        color_upper: 110, 100, 50
        # OPTIONAL: the time range for when this color variant is allowed
        # NOTE: make sure that /etc/localtime is passed to the container so it has valid time
        time_range:
          # OPTIONAL: Color variant is valid if current time is > this 24H time (Default: shown below).
          after: "00:00"
          # OPTIONAL: Color variant is valid if current time is < this 24H time (Default: shown below).
          before: "24:00"
    # OPTIONAL: the min area of the bounding box around groups of matching R, G, B pixels
    # considered a true positive. This is not recommended to be set as a super small amount
    # could be a false positive. (Default: shown below)
    min_area: 1000
    # OPTIONAL: the max area of the bounding box around groups of pixels with R, G, B
    # values within the bounds to be considered a true positive (Default: shown below).
    max_area: 100000
    # OPTIONAL: the min ratio of width/height of bounding box for valid object detection (default: shown below).
    min_ratio: 0
     # OPTIONAL: the max ratio of width/height of bounding box for valid object detection (default: shown below).
    max_ratio: 24000000

# REQUIRED: Define list of cameras that will be used for color detection.
cameras:
  # REQUIRED: Name of the camera
  piazzale:
    # OPTIONAL: Frequency in seconds to run detection on the camera.
    # a value of 0 disables auto detection (Default: shown below).
    auto_detect: 0
    # OPTIONAL: Configure the url and retention of snapshots. (Default: Shown Below)
    snapshot_config:
        # OPTIONAL: but highly recommended, setting the default url for a snapshot to be
        # processed by this camera. This is required for auto detection (Default: none).
        url: "http://user:pass@192.168.31.111/axis-cgi/jpg/image.cgi"
        # OPTIONAL: Whether or not to draw bounding boxes for confirmed objects in the snapshots (Default: shown below).
        bounding_box: true
        # OPTIONAL: Whether or not to save a clean png of the snapshot along with the annotated jpg (Default: shown below).
        clean_snapshot: true
        # OPTIONAL: Whether or not to save the snapshots of confirmed detections (Default: shown below).
        save_detections: true
        # OPTIONAL: Whether or not to save the snapshots of missed detections (Default: shown below).
        save_misses: false
        # OPTIONAL: Variations of snapshots to keep. Options are all, mask, crop (Default: shown below).
        mode: "all"
        # OPTIONAL: Number of days of snapshots to keep (Default: shown below).
        retain_days: 7
    # REQUIRED: Zones are cropped areas where the object can be expected to be.
    # This makes searching / matches for efficient and more predictable than searching
    # the entire image.
    zones:
      # REQUIRED: Name of the zone.
      street:
        # REQUIRED: Coordinates to crop the zone by.
        # NOTE: The order of the coordinates are: x, y, x+w, y+h starting in the top left corner as 0, 0.
        coordinates: 225, 540, 350, 620
        # REQUIRED: List of objects that may be in this zone. These correspond to
        # the objects list defined previously and are matched by name.
        objects:
          - cancello1

Relevant log output

[2024-02-09 17:05:28,217]: INFO - Starting SwatchApp
[2024-02-09 17:05:28,226]: INFO - Importing SwatchApp Config
[2024-02-09 17:05:28,226]: INFO - Verified SwatchApp Config
Starting migrations
[2024-02-09 17:05:28,243]: INFO - Starting migrations
There is nothing to migrate
[2024-02-09 17:05:28,252]: INFO - There is nothing to migrate
[2024-02-09 17:05:28,254]: INFO - Starting snapshot cleanup
[2024-02-09 17:05:28,254]: INFO - Starting Detection Cleanup
[2024-02-09 17:06:05,185]: ERROR - Exception on /piazzale/street/snapshot.jpg [GET]
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 2073, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 1519, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 1517, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 1503, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
  File "/opt/swatch/swatch/http.py", line 385, in get_latest_zone_snapshot
    jpg_bytes = current_app.snapshot_processor.get_latest_zone_snapshot(
  File "/opt/swatch/swatch/snapshot.py", line 206, in get_latest_zone_snapshot
    crop = img[
TypeError: 'NoneType' object is not subscriptable
[2024-02-09 17:06:05,193]: ERROR - Exception on /piazzale/snapshot.jpg [GET]
Traceback (most recent call last):
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 2073, in wsgi_app
    response = self.full_dispatch_request()
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 1519, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 1517, in full_dispatch_request
    rv = self.dispatch_request()
  File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 1503, in dispatch_request
    return self.ensure_sync(self.view_functions[rule.endpoint])(**req.view_args)
  File "/opt/swatch/swatch/http.py", line 342, in get_latest_camera_snapshot
    jpg_bytes = current_app.snapshot_processor.get_latest_camera_snapshot(camera_name)
  File "/opt/swatch/swatch/snapshot.py", line 185, in get_latest_camera_snapshot
    _, jpg = cv2.imencode(".jpg", img, [int(cv2.IMWRITE_JPEG_QUALITY), 70])
cv2.error: OpenCV(4.6.0) /io/opencv/modules/imgcodecs/src/loadsave.cpp:976: error: (-215:Assertion failed) !image.empty() in function 'imencode'

Any other information that may be helpful

No response

[lukedoomer]

same problem here

[roelfdiedericks]

Under the zones: section ensure that initially you set the crop coordinates to match the size of the image.

e.g. for a 640x480 image use

coordinates: 0, 0, 640, 480

This fixed the startup error for me