Halcon20 利用GPU 深度学习 报错Out of compute device memory halcon读取图像 halcon学习-读图像和遍历文件下图像 1.读取单张图像 2.读取多张选定图片 3.读取文件目录下所有的图片 1.读取单张图像 与很多图像处理读图算子一样,halcon里读取单张图片的操作很简单: read_image(test1, 'D:/myfile/作业/拉链检测/cha...
out of compute device memory halcon 4104 深度学习目标检测 总是报这个错误 ，用的是resnet50 网络...
'name', Nmae)47if(Nmae =='GeForce GT 630')//根据GPU名称打开GPU48open_compute_device(DeviceIdentifiers[i], DeviceHandle)49break50endif51endfor5253if(DeviceHandle#0)54set_compute_device_param (DeviceHandle,'asynchronous
66 *set_compute_device_param (DeviceHandle, 'buffer_cache_capacity', GenParamValue0) 67 *get_compute_device_param (DeviceHandle, 'buffer_cache_capacity', GenParamValue4) 68 69 count_seconds(T3) 70 *如果显卡缓存不够,会报错,error #4104 : Out of compute device memory 71 edges_sub_pix (I...
02 Out of compute device memory 应该是图像处理把虚拟内存耗尽了，一般出现在算法在无穷计算处理中，你...
2、GPU加速一定会比正常的AOP运算速度快吗?不一定!结果取决于显卡的好坏. 3、GPU加速,如果显卡缓存不够,会报错,error #4104 : Out of compute device memory 完整的*.hdev工程文件请下载:https://download.csdn.net/download/libaineu2004/12146529
The use of compute devices within a thread led to a memory leak when exiting this thread. This might have caused the error 4101 ("Out of compute device memory") when executing a compute device operator within a new thread after having forced the problem by exiting threads several times. Thi...
Compute Device When used with large images of more than two gigapixels, some OpenCL operations (arithmetic image operations like abs_diff_image) were very slow or returned an error. This problem has been fixed. Data Code find_data_code_2d in rare cases could not find and decode mirrore...
#define H_ERR_OUT_OF_DEVICE_MEM 4104 /* Out of device memory */ #define H_ERR_INVALID_SHAPE 4105 /* Invalid work group shape */ #define H_ERR_INVALID_DEVICE 4106 /* Invalid compute device */ /* CUDA/cuDNN related error messages */ #define H_ERR_CUDA_ERROR 4200 /* CUDA ...
#define H_ERR_OUT_OF_DEVICE_MEM 4104 /* Out of device memory */ #define H_ERR_INVALID_SHAPE 4105 /* Invalid work group shape */ #define H_ERR_INVALID_DEVICE 4106 /* Invalid compute device */ /* CUDA/cuDNN related error messages */ #define H_ERR_CUDA_ERROR 4200 /* CUDA ...