From f60f64e55ecaea524c52723985b3f28190468e97 Mon Sep 17 00:00:00 2001 From: alvarotap <61787129+alvarotap@users.noreply.github.com> Date: Fri, 24 Jun 2022 17:15:48 +0200 Subject: [PATCH 1/3] Update build.py --- semtorch/models/archs/backbones/build.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/semtorch/models/archs/backbones/build.py b/semtorch/models/archs/backbones/build.py index 1a1d4eb..35fae93 100644 --- a/semtorch/models/archs/backbones/build.py +++ b/semtorch/models/archs/backbones/build.py @@ -22,8 +22,8 @@ 'resnet152c': 'https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/resnet152-0d43d698.pth', 'xception65': 'https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/tf-xception65-270e81cf.pth', 'mobilenet_v2': 'https://github.com/LikeLy-Journey/SegmenTron/releases/download/v0.1.0/mobilenetV2-15498621.pth', - "hrnet_w18_small_v1": "https://dl.dropboxusercontent.com/s/do1we7sfxowkm2w/hrnet_w18_small_model_v1.pth", - "hrnet_w18_small_v2": "https://dl.dropboxusercontent.com/s/pz3vdp8jg0ffkbr/hrnet_w18_small_model_v2.pth", + "hrnet_w18_small_model_v1": "https://dl.dropboxusercontent.com/s/do1we7sfxowkm2w/hrnet_w18_small_model_v1.pth", + "hrnet_w18_small_model_v2": "https://dl.dropboxusercontent.com/s/pz3vdp8jg0ffkbr/hrnet_w18_small_model_v2.pth", "hrnet_w18": "https://dl.dropboxusercontent.com/s/cewi4owfrw00oza/hrnetv2_w18_imagenet_pretrained.pth", "hrnet_w30": "https://dl.dropboxusercontent.com/s/r1rafhhw1hfhpgl/hrnetv2_w30_imagenet_pretrained.pth", "hrnet_w32": "https://dl.dropboxusercontent.com/s/7bu7mku682von0f/hrnetv2_w32_imagenet_pretrained.pth", From 536d26fa7b27711a64e422026c61c8f05e61e501 Mon Sep 17 00:00:00 2001 From: alvarotap <61787129+alvarotap@users.noreply.github.com> Date: Fri, 24 Jun 2022 17:20:10 +0200 Subject: [PATCH 2/3] Update hrnet.py --- semtorch/models/archs/backbones/hrnet.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/semtorch/models/archs/backbones/hrnet.py b/semtorch/models/archs/backbones/hrnet.py index 6c47603..781c42c 100644 --- a/semtorch/models/archs/backbones/hrnet.py +++ b/semtorch/models/archs/backbones/hrnet.py @@ -476,7 +476,7 @@ def init_weights(self, pretrained=''): return "HRNet backbone wieghts loaded" backbone_config={ - "hrnet_w18_small_v1": { + "hrnet_w18_small_model_v1": { "STAGE1": { "NUM_MODULES": 1, "NUM_BRANCHES": 1, @@ -510,7 +510,7 @@ def init_weights(self, pretrained=''): "FUSE_METHOD": "SUM" } }, - "hrnet_w18_small_v2": { + "hrnet_w18_small_model_v2": { "STAGE1": { "NUM_MODULES": 1, "NUM_BRANCHES": 1, @@ -683,13 +683,13 @@ def init_weights(self, pretrained=''): } @BACKBONE_REGISTRY.register() -def hrnet_w18_small_v1(norm_layer=nn.BatchNorm2d): - model = HighResolutionNet(config=backbone_config["hrnet_w18_small_v1"], norm_layer=norm_layer) +def hrnet_w18_small_model_v1(norm_layer=nn.BatchNorm2d): + model = HighResolutionNet(config=backbone_config["hrnet_w18_small_model_v1"], norm_layer=norm_layer) return model @BACKBONE_REGISTRY.register() -def hrnet_w18_small_v2(norm_layer=nn.BatchNorm2d): - model = HighResolutionNet(config=backbone_config["hrnet_w18_small_v2"], norm_layer=norm_layer) +def hrnet_w18_small_model_v2(norm_layer=nn.BatchNorm2d): + model = HighResolutionNet(config=backbone_config["hrnet_w18_small_model_v2"], norm_layer=norm_layer) return model @BACKBONE_REGISTRY.register() From 84a0e7dc34383be652a1a756e54842b1398ad0b1 Mon Sep 17 00:00:00 2001 From: alvarotap <61787129+alvarotap@users.noreply.github.com> Date: Fri, 24 Jun 2022 17:26:13 +0200 Subject: [PATCH 3/3] Update hrnet_seg.py --- semtorch/models/archs/hrnet_seg.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/semtorch/models/archs/hrnet_seg.py b/semtorch/models/archs/hrnet_seg.py index 97c20be..97b500a 100644 --- a/semtorch/models/archs/hrnet_seg.py +++ b/semtorch/models/archs/hrnet_seg.py @@ -18,10 +18,10 @@ architecture_config = { - "hrnet_w18_small_v1": { + "hrnet_w18_small_model_v1": { "FINAL_CONV_KERNEL": 1 }, - "hrnet_w18_small_v2": { + "hrnet_w18_small_model_v2": { "FINAL_CONV_KERNEL": 1 }, "hrnet_w18": {