feat: support ConvNeXt, VAN_B0, CSPDarkNet53, PeleeNet
@@ -51,6 +51,8 @@ BASE_IMAGES_DIR = os.path.join(BASE_DIR, "images")
IMN_MODEL_BASE_DOWNLOAD_URL = "https://paddle-imagenet-models-name.bj.bcebos.com/dygraph/inference/{}_infer.tar"
IMN_MODEL_SERIES = {
"AlexNet": ["AlexNet"],
+ "ConvNeXt": ["ConvNeXt_tiny"],
+ "CSPNet": ["CSPDarkNet53"],
"CSWinTransformer": [
"CSWinTransformer_tiny_224", "CSWinTransformer_small_224",
"CSWinTransformer_base_224", "CSWinTransformer_base_384",
@@ -108,6 +110,7 @@ IMN_MODEL_SERIES = {
"MobileNetV3_small_x1_0_ssld", "MobileNetV3_large_x1_0_ssld"
],
"MobileViT": ["MobileViT_XXS", "MobileViT_XS", "MobileViT_S"],
+ "PeleeNet": ["PeleeNet"],
"PPHGNet": [
"PPHGNet_tiny",
"PPHGNet_small",
@@ -176,6 +179,7 @@ IMN_MODEL_SERIES = {
"alt_gvt_base", "alt_gvt_large"
],
"TNT": ["TNT_small"],
+ "VAN": ["VAN_B0"],
"VGG": ["VGG11", "VGG13", "VGG16", "VGG19"],
"VisionTransformer": [
"ViT_base_patch16_224", "ViT_base_patch16_384", "ViT_base_patch32_384",
