LMR2018

Results 12 issues of LMR2018

Why is the GPU memory footprint doubled with Tensorrt acceleration

When I use this command, the FPS is only 17, much less than the 100 + you gave me, any idea why? ![screenshot-20210910-175730](https://user-images.githubusercontent.com/37955893/132837203-635cca8a-bf1e-40a8-9b9c-e77009117eb2.png)

I want to convert the video like this and save it as Npy: The file should contain an array with shape 15 x 2 x length. The first dimension (15)...

how to generate a numpy .npy file from DensePose?

Hello, I want to know the training data set of Hand model, can you provide it to me?

D/UseCaseAttachState: All use case: [androidx.camera.core.Preview-27cce9c0-8fa0-445c-a7e1-b01fa4accbdb265504916] for camera: 0 D/DeferrableSurface: New surface in use[total_surfaces=1, used_surfaces=1](androidx.camera.core.SurfaceRequest$2@f72883} use count+1, useCount=1 androidx.camera.core.SurfaceRequest$2@f72883 D/CaptureSession: Opening capture session. D/CaptureSession: Attempting to send capture request onConfigured Issuing...

After loading hand_tracking_mobile_gpu.binarypb model, the code will not move after this step, delete this model will report an error, how should I solve this problem? ![Snipaste_2021-11-22_11-42-09](https://user-images.githubusercontent.com/37955893/142816602-eda1a88b-bd72-49f1-a061-1b025d28c40b.png)

想知道换了自己训练模型后,如何修改其相应的class和输入输出张量配置? W/ncnn: overwrite existing custom layer type YoloV5Focus D/current use model: picodet-s-416.param W/ncnn: AAssetManager_open picodet-s-416.param failed AAssetManager_open picodet-s-416.bin failed D/ncnn: current use model: picodet-s-416 E/model: current_model I/System.out: 0 1 D/mali_winsys:...

A/Paddle-Lite: [F 11/ 1 18: 0:58.555 .../lite/kernels/host/elementwise_op_func.h:339 Update] Wrong broadcast type E/libc++abi: terminating with uncaught exception of type paddle::lite::PaddleLiteException: Paddle-Lite C++ Exception: [F 11/ 1 18: 0:58.555 .../lite/kernels/host/elementwise_op_func.h:339 Update] Wrong...

使用ch_PP-OCRv4_rec_svtr_large.yml训练的OCR识别模型,训练正常, 使用python tools/eval.py -c configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_svtr_large.yml也是正常的, 用python tools/export_model.py -c configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_svtr_large.yml 也是能成功导出模型的 用export_model.py导出的模型,使用python tools/infer/predict_rec.py预测宽度不太长的单行图片也是能正常预测的, 但是predict_rec.py预测宽度比较大的图片时出现:(InvalidArgument) Broadcast dimension mismatch错误 即使是训练、验证用的宽度比较大的图片也是出现这个错误,这个怎么解决? 训练配置:image_shape: [3, 48, 320], max_text_length: &max_text_length 50 `[2024/05/25 14:48:36] ppocr INFO: Traceback (most...

need more info