mirror of
https://github.com/azaion/detections.git
synced 2026-04-22 22:16:31 +00:00
Oleksandr Bezdieniezhnykh
8baa96978b
- Updated the detection image endpoint to require a channel ID for event streaming. - Introduced a new endpoint for streaming detection events, allowing clients to receive real-time updates. - Enhanced the internal buffering mechanism for detection events to manage multiple channels. - Refactored the inference module to support the new event handling structure. Made-with: Cursor
55 lines
1.4 KiB
Python
55 lines
1.4 KiB
Python
import json
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import pytest
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def _percentile_ms(sorted_ms, p):
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n = len(sorted_ms)
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if n == 0:
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return 0.0
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if n == 1:
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return float(sorted_ms[0])
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k = (n - 1) * (p / 100.0)
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lo = int(k)
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hi = min(lo + 1, n - 1)
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w = k - lo
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return sorted_ms[lo] * (1 - w) + sorted_ms[hi] * w
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@pytest.mark.timeout(60)
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def test_nft_perf_01_single_image_latency_p95(
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warm_engine, image_detect, image_small
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):
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times_ms = []
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for _ in range(10):
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_, elapsed_ms = image_detect(image_small, "img.jpg", timeout=8)
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times_ms.append(elapsed_ms)
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sorted_ms = sorted(times_ms)
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p50 = _percentile_ms(sorted_ms, 50)
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p95 = _percentile_ms(sorted_ms, 95)
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p99 = _percentile_ms(sorted_ms, 99)
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print(
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"nft_perf_01_csv,run_ms,"
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+ ",".join(f"{x:.2f}" for x in sorted_ms)
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+ f",p50,{p50:.2f},p95,{p95:.2f},p99,{p99:.2f}"
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)
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assert p95 < 5000.0
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@pytest.mark.timeout(60)
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def test_nft_perf_03_tiling_overhead_large_image(
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warm_engine, image_detect, image_small, image_large
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):
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_, small_ms = image_detect(image_small, "small.jpg", timeout=8)
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_, large_ms = image_detect(
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image_large, "large.jpg",
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config=json.dumps({"altitude": 400, "focal_length": 24, "sensor_width": 23.5}),
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timeout=20,
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)
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assert large_ms < 30_000.0
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print(
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f"nft_perf_03_csv,baseline_small_ms,{small_ms:.2f},large_ms,{large_ms:.2f}"
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)
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assert large_ms > small_ms - 500.0
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