ObjectDetection-OneStageDet icon indicating copy to clipboard operation
ObjectDetection-OneStageDet copied to clipboard

New weight file syntax

Open Adrian-Yan16 opened this issue 2 years ago • 0 comments

2022-10-24 17:14:18,275:DEBUG:Creating network 2022-10-24 17:14:18,320:DEBUG:Loading weights from darknet file 2022-10-24 17:14:18,320:DEBUG:Loading weight file: version 67324752.134742016.0 2022-10-24 17:14:18,320:ERROR:New weight file syntax! Loading of weights might not work properly. Please submit an issue with the weight file version number. [Run with DEBUG logging level] 2022-10-24 17:14:18,336:DEBUG:Layer skipped: TinyYolov3 2022-10-24 17:14:18,336:DEBUG:Layer skipped: TinyYolov3 2022-10-24 17:14:18,337:INFO:Net structure TinyYolov3( (backbone): TinyYolov3( (layers): ModuleList( (0): Sequential( (0_convbatch): Conv2dBatchLeaky (3, 16, kernel_size=3, stride=1, padding=1, negative_slope=0.1) (1_max): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (2_convbatch): Conv2dBatchLeaky (16, 32, kernel_size=3, stride=1, padding=1, negative_slope=0.1) (3_max): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (4_convbatch): Conv2dBatchLeaky (32, 64, kernel_size=3, stride=1, padding=1, negative_slope=0.1) ) (1): Sequential( (5_max): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (6_convbatch): Conv2dBatchLeaky (64, 128, kernel_size=3, stride=1, padding=1, negative_slope=0.1) ) (2): Sequential( (7_max): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (8_convbatch): Conv2dBatchLeaky (128, 256, kernel_size=3, stride=1, padding=1, negative_slope=0.1) ) (3): Sequential( (9_max): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) (10_convbatch): Conv2dBatchLeaky (256, 512, kernel_size=3, stride=1, padding=1, negative_slope=0.1) (11_max): MaxPool2d(kernel_size=3, stride=1, padding=1, dilation=1, ceil_mode=False) (12_convbatch): Conv2dBatchLeaky (512, 1024, kernel_size=3, stride=1, padding=1, negative_slope=0.1) (13_convbatch): Conv2dBatchLeaky (1024, 256, kernel_size=1, stride=1, padding=0, negative_slope=0.1) ) ) ) (head): TinyYolov3( (layers): ModuleList( (0): Sequential( (14_convbatch): Conv2dBatchLeaky (256, 512, kernel_size=3, stride=1, padding=1, negative_slope=0.1) (15_conv): Conv2d(512, 24, kernel_size=(1, 1), stride=(1, 1)) ) (1): Sequential( (18_convbatch): Conv2dBatchLeaky (256, 128, kernel_size=1, stride=1, padding=0, negative_slope=0.1) (19_upsample): Upsample(scale_factor=2.0, mode=nearest) ) (2): Sequential( (21_convbatch): Conv2dBatchLeaky (384, 256, kernel_size=3, stride=1, padding=1, negative_slope=0.1) (22_conv): Conv2d(256, 24, kernel_size=(1, 1), stride=(1, 1)) ) ) ) )

Adrian-Yan16 avatar Oct 24 '22 09:10 Adrian-Yan16