forked from Github/frigate
Add object filter ratio (#2952)
* Add object ratio config parameters Issue: #2948 * Add config test for object filter ratios Issue: #2948 * Address review comments - Accept `ratio` default - Rename `bounds` to `box` for consistency - Add migration for new field Issue: #2948 * Fix logical errors - field migrations require default values - `clipped` referenced the wrong index for region, since it shifted - missed an inclusion of `ratio` for detections in `process_frames` - revert naming `o[2]` as `box` since it is out of scope! This has now been test-run against a video, so I believe the kinks are worked out. Issue: #2948 * Update contributing notes for `make` Issue: #2948 * Fix migration - Ensure that defaults match between Event and migration script - Deconflict migration script number (from rebase) Issue: #2948 * Filter objects out of ratio bounds Issue: #2948 * Update migration file to 009 Issue: #2948
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@@ -194,6 +194,10 @@ objects:
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min_area: 5000
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# Optional: maximum width*height of the bounding box for the detected object (default: 24000000)
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max_area: 100000
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# Optional: minimum width/height of the bounding box for the detected object (default: 0)
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min_ratio: 0.5
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# Optional: maximum width/height of the bounding box for the detected object (default: 24000000)
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max_ratio: 2.0
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# Optional: minimum score for the object to initiate tracking (default: shown below)
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min_score: 0.5
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# Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below)
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@@ -40,9 +40,7 @@ Fork [blakeblackshear/frigate-hass-integration](https://github.com/blakeblackshe
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### Setup
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#### 1. Build the docker container locally with the appropriate make command
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For x86 machines, use `make amd64_frigate`
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#### 1. Build the version information and docker container locally by running `make`
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#### 2. Create a local config file for testing
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@@ -3,7 +3,11 @@ id: false_positives
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title: Reducing false positives
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---
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Tune your object filters to adjust false positives: `min_area`, `max_area`, `min_score`, `threshold`.
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Tune your object filters to adjust false positives: `min_area`, `max_area`, `min_ratio`, `max_ratio`, `min_score`, `threshold`.
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The `min_area` and `max_area` values are compared against the area (number of pixels) from a given detected object. If the area is outside this range, the object will be ignored as a false positive. This allows objects that must be too small or too large to be ignored.
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Similarly, the `min_ratio` and `max_ratio` values are compared against a given detected object's width/height ratio (in pixels). If the ratio is outside this range, the object will be ignored as a false positive. This allows objects that are proportionally too short-and-wide (higher ratio) or too tall-and-narrow (smaller ratio) to be ignored.
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For object filters in your configuration, any single detection below `min_score` will be ignored as a false positive. `threshold` is based on the median of the history of scores (padded to 3 values) for a tracked object. Consider the following frames when `min_score` is set to 0.6 and threshold is set to 0.85:
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@@ -52,6 +52,7 @@ Message published for each changed event. The first message is published when th
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"score": 0.7890625,
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"box": [424, 500, 536, 712],
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"area": 23744,
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"ratio": 2.113207,
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"region": [264, 450, 667, 853],
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"current_zones": ["driveway"],
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"entered_zones": ["yard", "driveway"],
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@@ -75,6 +76,7 @@ Message published for each changed event. The first message is published when th
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"score": 0.87890625,
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"box": [432, 496, 544, 854],
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"area": 40096,
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"ratio": 1.251397,
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"region": [218, 440, 693, 915],
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"current_zones": ["yard", "driveway"],
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"entered_zones": ["yard", "driveway"],
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