Mercurial > repos > goeckslab > image_learner

comparison constants.py @ 3:2c3a3dfaf1a9 draft default tip

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planemo upload for repository https://github.com/goeckslab/gleam.git commit 5ab02b6688c9af85525dd225134db8f2bbed76ed
author goeckslab
date Fri, 04 Jul 2025 03:44:56 +0000
parents 186424a7eca7
children
comparison
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2:186424a7eca7 3:2c3a3dfaf1a9
66 "swin_s": {"type": "swin_transformer", "model_variant": "s"}, 66 "swin_s": {"type": "swin_transformer", "model_variant": "s"},
67 "swin_b": {"type": "swin_transformer", "model_variant": "b"}, 67 "swin_b": {"type": "swin_transformer", "model_variant": "b"},
68 "swin_v2_t": {"type": "swin_transformer", "model_variant": "v2_t"}, 68 "swin_v2_t": {"type": "swin_transformer", "model_variant": "v2_t"},
69 "swin_v2_s": {"type": "swin_transformer", "model_variant": "v2_s"}, 69 "swin_v2_s": {"type": "swin_transformer", "model_variant": "v2_s"},
70 "swin_v2_b": {"type": "swin_transformer", "model_variant": "v2_b"}, 70 "swin_v2_b": {"type": "swin_transformer", "model_variant": "v2_b"},
71 "vit_b_16": {"type": "vision_transformer", "model_variant": "b_16"}, 71 "vit_b_16": {"type": "vit", "model_variant": "b_16"},
72 "vit_b_32": {"type": "vision_transformer", "model_variant": "b_32"}, 72 "vit_b_32": {"type": "vit", "model_variant": "b_32"},
73 "vit_l_16": {"type": "vision_transformer", "model_variant": "l_16"}, 73 "vit_l_16": {"type": "vit", "model_variant": "l_16"},
74 "vit_l_32": {"type": "vision_transformer", "model_variant": "l_32"}, 74 "vit_l_32": {"type": "vit", "model_variant": "l_32"},
75 "vit_h_14": {"type": "vision_transformer", "model_variant": "h_14"}, 75 "vit_h_14": {"type": "vit", "model_variant": "h_14"},
76 "convnext_tiny": {"type": "convnext", "model_variant": "tiny"}, 76 "convnext_tiny": {"type": "convnext", "model_variant": "tiny"},
77 "convnext_small": {"type": "convnext", "model_variant": "small"}, 77 "convnext_small": {"type": "convnext", "model_variant": "small"},
78 "convnext_base": {"type": "convnext", "model_variant": "base"}, 78 "convnext_base": {"type": "convnext", "model_variant": "base"},
79 "convnext_large": {"type": "convnext", "model_variant": "large"}, 79 "convnext_large": {"type": "convnext", "model_variant": "large"},
80 "maxvit_t": {"type": "maxvit", "model_variant": "t"}, 80 "maxvit_t": {"type": "maxvit", "model_variant": "t"},
81 "alexnet": {"type": "alexnet"}, 81 "alexnet": {"type": "alexnet"},
82 "googlenet": {"type": "googlenet"}, 82 "googlenet": {"type": "googlenet"},
83 "inception_v3": {"type": "inception_v3"}, 83 "inception_v3": {"type": "inceptionv3"},
84 "mobilenet_v2": {"type": "mobilenet_v2"}, 84 "mobilenet_v2": {"type": "mobilenet_v2"},
85 "mobilenet_v3_large": {"type": "mobilenet_v3_large"}, 85 "mobilenet_v3_large": {"type": "mobilenetv3", "model_variant": "large"},
86 "mobilenet_v3_small": {"type": "mobilenet_v3_small"}, 86 "mobilenet_v3_small": {"type": "mobilenetv3", "model_variant": "small"},
87 } 87 }
88 METRIC_DISPLAY_NAMES = { 88 METRIC_DISPLAY_NAMES = {
89 "accuracy": "Accuracy", 89 "accuracy": "Accuracy",
90 "accuracy_micro": "Accuracy-Micro", 90 "accuracy_micro": "Accuracy-Micro",
91 "loss": "Loss", 91 "loss": "Loss",