未验证 提交 9630ebb4 编写于 作者: W wangguanzhong 提交者: GitHub

fix weights path (#273)

上级 eb7b0ddd
......@@ -6,7 +6,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
metric: COCO
weights: output/cascade_mask_rcnn_r50_fpn_1x/model_final/
weights: output/cascade_mask_rcnn_r50_fpn_1x/model_final
num_classes: 81
CascadeMaskRCNN:
......
......@@ -6,7 +6,7 @@ log_iter: 20
log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SENet154_vd_caffe_pretrained.tar
weights: output/cascade_mask_rcnn_dcn_se154_vd_fpn_gn_s1x/model_final/
weights: output/cascade_mask_rcnn_dcn_se154_vd_fpn_gn_s1x/model_final
metric: COCO
num_classes: 81
......
......@@ -6,7 +6,7 @@ log_iter: 20
log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SENet154_vd_caffe_pretrained.tar
weights: output/cascade_mask_rcnn_dcn_se154_vd_fpn_gn_s1x/model_final/
weights: output/cascade_mask_rcnn_dcn_se154_vd_fpn_gn_s1x/model_final
metric: COCO
num_classes: 81
......
......@@ -7,7 +7,7 @@ log_iter: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
metric: COCO
weights: output/mask_rcnn_dcn_r50_fpn_1x/model_final/
weights: output/mask_rcnn_dcn_r50_fpn_1x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -7,7 +7,7 @@ log_iter: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
metric: COCO
weights: output/mask_rcnn_dcn_r50_vd_fpn_2x/model_final/
weights: output/mask_rcnn_dcn_r50_vd_fpn_2x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
log_iter: 20
metric: WIDERFACE
save_dir: output
weights: output/blazeface/model_final/
weights: output/blazeface/model_final
# 1(label_class) + 1(background)
num_classes: 2
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
log_iter: 20
metric: WIDERFACE
save_dir: output
weights: output/blazeface_nas/model_final/
weights: output/blazeface_nas/model_final
# 1(label_class) + 1(background)
num_classes: 2
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
log_iter: 20
metric: WIDERFACE
save_dir: output
weights: output/blazeface_nas/model_final/
weights: output/blazeface_nas/model_final
# 1(label_class) + 1(background)
num_classes: 2
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
log_iter: 20
metric: WIDERFACE
save_dir: output
weights: output/faceboxes/model_final/
weights: output/faceboxes/model_final
# 1(label_class) + 1(background)
num_classes: 2
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
log_iter: 20
metric: WIDERFACE
save_dir: output
weights: output/faceboxes_lite/model_final/
weights: output/faceboxes_lite/model_final
# 1(label_class) + 1(background)
num_classes: 2
......
......@@ -6,7 +6,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
metric: COCO
weights: output/mask_rcnn_r50_vd_fpn_gcb_add_r16_2x/model_final/
weights: output/mask_rcnn_r50_vd_fpn_gcb_add_r16_2x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -6,7 +6,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
metric: COCO
weights: output/mask_rcnn_r50_vd_fpn_gcb_mul_r16_2x/model_final/
weights: output/mask_rcnn_r50_vd_fpn_gcb_mul_r16_2x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -5,7 +5,7 @@ use_gpu: true
log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
weights: output/cascade_mask_rcnn_r50_fpn_gn_2x/model_final/
weights: output/cascade_mask_rcnn_r50_fpn_gn_2x/model_final
metric: COCO
num_classes: 81
......
......@@ -5,7 +5,7 @@ use_gpu: true
log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
weights: output/mask_rcnn_r50_fpn_gn_2x/model_final/
weights: output/mask_rcnn_r50_fpn_gn_2x/model_final
metric: COCO
num_classes: 81
......
......@@ -6,7 +6,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet101_pretrained.tar
metric: COCO
weights: output/mask_rcnn_r101_fpn_1x/model_final/
weights: output/mask_rcnn_r101_fpn_1x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -6,7 +6,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
metric: COCO
weights: output/mask_rcnn_r50_2x/model_final/
weights: output/mask_rcnn_r50_2x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -6,7 +6,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
metric: COCO
weights: output/mask_rcnn_r50_fpn_1x/model_final/
weights: output/mask_rcnn_r50_fpn_1x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -5,7 +5,7 @@ use_gpu: true
log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_cos_pretrained.tar
weights: output/mask_rcnn_r50_fpn_2x/model_final/
weights: output/mask_rcnn_r50_fpn_2x/model_final
metric: COCO
num_classes: 81
......
......@@ -6,7 +6,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/ResNet50_vd_pretrained.tar
metric: COCO
weights: output/mask_rcnn_r50_vd_fpn_2x/model_final/
weights: output/mask_rcnn_r50_vd_fpn_2x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -5,7 +5,7 @@ use_gpu: true
log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/SENet154_vd_pretrained.tar
weights: output/mask_rcnn_se154_vd_fpn_s1x/model_final/
weights: output/mask_rcnn_se154_vd_fpn_s1x/model_final
metric: COCO
num_classes: 81
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/Res2Net50_26w_4s_pretrained.tar
metric: COCO
weights: output/mask_rcnn_res2net50_vb_26w_4s_fpn_2x/model_final/
weights: output/mask_rcnn_res2net50_vb_26w_4s_fpn_2x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/Res2Net50_vd_26w_4s_pretrained.tar
metric: COCO
weights: output/mask_rcnn_res2net50_vd_26w_4s_fpn_2x/model_final/
weights: output/mask_rcnn_res2net50_vd_26w_4s_fpn_2x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -7,7 +7,7 @@ log_smooth_window: 20
save_dir: output
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/Res2Net50_vd_26w_4s_pretrained.tar
metric: COCO
weights: output/mask_rcnn_res2net50_vd_26w_4s_fpn_dcnv2_1x/model_final/
weights: output/mask_rcnn_res2net50_vd_26w_4s_fpn_dcnv2_1x/model_final
num_classes: 81
MaskRCNN:
......
......@@ -7,7 +7,7 @@ log_smooth_window: 1
metric: VOC
map_type: 11point
save_dir: output
weights: output/ssd_mobilenet_v1_voc/model_final/
weights: output/ssd_mobilenet_v1_voc/model_final
# 20(label_class) + 1(background)
num_classes: 21
......
......@@ -8,7 +8,7 @@ metric: VOC
map_type: 11point
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/VGG16_caffe_pretrained.tar
save_dir: output
weights: output/ssd_vgg16_300_voc/model_final/
weights: output/ssd_vgg16_300_voc/model_final
# 20(label_class) + 1(background)
num_classes: 21
......
......@@ -8,7 +8,7 @@ metric: VOC
map_type: 11point
pretrain_weights: https://paddle-imagenet-models-name.bj.bcebos.com/VGG16_caffe_pretrained.tar
save_dir: output
weights: output/ssd_vgg16_512_voc/model_final/
weights: output/ssd_vgg16_512_voc/model_final
# 20(label_class) + 1(background)
num_classes: 21
......
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