QQiangren

运行人脸识别demo（trt_face_detect.py）把判断语句：if (output_queue_size >= 2):屏蔽掉，云溪谷会报错： [2024-05-11 04:09:39.784] [info] node:c_ffmpeg_encoder 3 scheduler 1 [2024-05-11 04:09:39.807] [error] node id:1 catch exception: KeyError: (1,) At: /root/bmf/lvyantest/tensorrt_post/trt_face_detect.py(226): process [2024-05-11 04:09:39.807] [error] node id:1 Process node...

trt_face_detect.py的代码片段 ： def process(self, task): input_queue = task.get_inputs()[0] output_queue_0 = task.get_outputs()[0] output_queue_size = len(task.get_outputs()) if output_queue_size >= 2: output_queue_1 = task.get_outputs()[1] while not input_queue.empty(): pkt = input_queue.get() if pkt.timestamp ==...

运行人脸检测demo时会一直打印：[info] *** dropping frame 7 at ts 3584。请问：dropping frame是什么意思？是检测时抽帧检测的吗？谢谢

4

我的代码如下： import torch import torch.nn.functional as F import numpy as np import sys import time import tensorrt as trt import bmf.hml.hmp as mp from nms import NMS import PIL from...

运行demo：detect_trt_sample 报错：node id:0 Could not allocate frame

7

如题：按照人脸识别的demo,用的官方模型和视频。在bmf_runtime:latest镜像内运行该demo。 报错：[error] node id:0 Could not allocate frame，未生成trt_out.mp4

运行demo报：[swscaler @ 0x7f5cbb7f1200] No accelerated colorspace conversion found from yuv420p to rgb24.

4

运行官方镜像， docker pull babitmf/bmf_runtime:latest docker run --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all -it babitmf/bmf_runtime:latest bash export CMAKE_ARGS="-DBMF_ENABLE_CUDA=ON" ./build.sh 编译后运行demo: python3 ~/bmf/output/demo/video_enhance/enhance_demo.py 代码未报错，能够生成视频，但运行过程中一直报：No accelerated colorspace conversion found from yuv420p to rgb24. 问题： 生成的output.mp4视频，播放时完全看不到视频内容，显示花屏。