fix(unraid): restore stable FP32 inference
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@@ -44,8 +44,7 @@ class Models:
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height, width = frame.shape[:2]
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t0 = time.perf_counter_ns()
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init_default_scope("mmdet")
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with torch.autocast(device_type="cuda", dtype=torch.float16):
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result = inference_detector(self.detector, frame)
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result = inference_detector(self.detector, frame)
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pred = result.pred_instances.cpu().numpy()
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keep = (pred.labels == 0) & (pred.scores >= threshold)
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boxes = pred.bboxes[keep]
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@@ -56,8 +55,7 @@ class Models:
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det_ms = (time.perf_counter_ns() - t0) / 1e6
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t1 = time.perf_counter_ns()
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init_default_scope("mmpose")
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with torch.autocast(device_type="cuda", dtype=torch.float16):
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pose_results = inference_topdown(self.pose, frame, bboxes=boxes) if len(boxes) else []
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pose_results = inference_topdown(self.pose, frame, bboxes=boxes) if len(boxes) else []
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pose_ms = (time.perf_counter_ns() - t1) / 1e6
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people = []
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for idx, (box, det_score, sample) in enumerate(zip(boxes, scores, pose_results)):
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@@ -84,7 +84,7 @@ services:
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NDI_SOURCE_NAME: TAIL 2_1621D2 (OBSBOT)
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NDI_SOURCE_IP: 192.168.50.207
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MODEL_PROFILE: balanced
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BENCHMARK_PROFILE: rtmdet-tiny_rtmw-m_gpu1_fp16
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BENCHMARK_PROFILE: rtmdet-tiny_rtmw-m_gpu1_fp32_final
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MAX_PEOPLE: "4"
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DETECTION_THRESHOLD: "0.35"
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NMS_IOU_THRESHOLD: "0.60"
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@@ -115,7 +115,7 @@ services:
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restart: "no"
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environment:
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DETECTOR_NAME: rtmdet-tiny-person
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BENCHMARK_PROFILE: rtmdet-tiny_rtmw-m_gpu1_fp16
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BENCHMARK_PROFILE: rtmdet-tiny_rtmw-m_gpu1_fp32_final
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entrypoint: ["/bin/bash", "-lc"]
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depends_on:
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tail2-pose-server:
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@@ -146,7 +146,7 @@ services:
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restart: "no"
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environment:
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DETECTOR_NAME: rtmdet-tiny-person
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BENCHMARK_PROFILE: rtmdet-tiny_rtmw-m_gpu1_fp16
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BENCHMARK_PROFILE: rtmdet-tiny_rtmw-m_gpu1_fp32_final
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entrypoint: ["/bin/bash", "-lc"]
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depends_on:
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tail2-pose-server:
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