Upload folder using huggingface_hub
Browse files- config.json +351 -0
- onnx/model.onnx +3 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_fp16.onnx +3 -0
- onnx/model_int8.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- preprocessor_config.json +26 -0
config.json
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| 1 |
+
{
|
| 2 |
+
"_attn_implementation_autoset": true,
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"activation_function": "silu",
|
| 5 |
+
"anchor_image_size": null,
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| 6 |
+
"architectures": [
|
| 7 |
+
"DFineForObjectDetection"
|
| 8 |
+
],
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"auxiliary_loss": true,
|
| 11 |
+
"backbone": null,
|
| 12 |
+
"backbone_config": {
|
| 13 |
+
"depths": [
|
| 14 |
+
3,
|
| 15 |
+
4,
|
| 16 |
+
6,
|
| 17 |
+
3
|
| 18 |
+
],
|
| 19 |
+
"downsample_in_bottleneck": false,
|
| 20 |
+
"downsample_in_first_stage": false,
|
| 21 |
+
"embedding_size": 32,
|
| 22 |
+
"hidden_act": "relu",
|
| 23 |
+
"hidden_sizes": [
|
| 24 |
+
128,
|
| 25 |
+
256,
|
| 26 |
+
512,
|
| 27 |
+
1024
|
| 28 |
+
],
|
| 29 |
+
"initializer_range": 0.02,
|
| 30 |
+
"layer_type": "basic",
|
| 31 |
+
"model_type": "hgnet_v2",
|
| 32 |
+
"num_channels": 3,
|
| 33 |
+
"out_features": [
|
| 34 |
+
"stage2",
|
| 35 |
+
"stage3",
|
| 36 |
+
"stage4"
|
| 37 |
+
],
|
| 38 |
+
"out_indices": [
|
| 39 |
+
2,
|
| 40 |
+
3,
|
| 41 |
+
4
|
| 42 |
+
],
|
| 43 |
+
"stage_downsample": [
|
| 44 |
+
false,
|
| 45 |
+
true,
|
| 46 |
+
true,
|
| 47 |
+
true
|
| 48 |
+
],
|
| 49 |
+
"stage_in_channels": [
|
| 50 |
+
16,
|
| 51 |
+
64,
|
| 52 |
+
256,
|
| 53 |
+
512
|
| 54 |
+
],
|
| 55 |
+
"stage_kernel_size": [
|
| 56 |
+
3,
|
| 57 |
+
3,
|
| 58 |
+
5,
|
| 59 |
+
5
|
| 60 |
+
],
|
| 61 |
+
"stage_light_block": [
|
| 62 |
+
false,
|
| 63 |
+
false,
|
| 64 |
+
true,
|
| 65 |
+
true
|
| 66 |
+
],
|
| 67 |
+
"stage_mid_channels": [
|
| 68 |
+
16,
|
| 69 |
+
32,
|
| 70 |
+
64,
|
| 71 |
+
128
|
| 72 |
+
],
|
| 73 |
+
"stage_names": [
|
| 74 |
+
"stem",
|
| 75 |
+
"stage1",
|
| 76 |
+
"stage2",
|
| 77 |
+
"stage3",
|
| 78 |
+
"stage4"
|
| 79 |
+
],
|
| 80 |
+
"stage_num_blocks": [
|
| 81 |
+
1,
|
| 82 |
+
1,
|
| 83 |
+
2,
|
| 84 |
+
1
|
| 85 |
+
],
|
| 86 |
+
"stage_numb_of_layers": [
|
| 87 |
+
3,
|
| 88 |
+
3,
|
| 89 |
+
3,
|
| 90 |
+
3
|
| 91 |
+
],
|
| 92 |
+
"stage_out_channels": [
|
| 93 |
+
64,
|
| 94 |
+
256,
|
| 95 |
+
512,
|
| 96 |
+
1024
|
| 97 |
+
],
|
| 98 |
+
"stem_channels": [
|
| 99 |
+
3,
|
| 100 |
+
16,
|
| 101 |
+
16
|
| 102 |
+
],
|
| 103 |
+
"use_learnable_affine_block": true
|
| 104 |
+
},
|
| 105 |
+
"backbone_kwargs": null,
|
| 106 |
+
"batch_norm_eps": 1e-05,
|
| 107 |
+
"box_noise_scale": 1.0,
|
| 108 |
+
"d_model": 256,
|
| 109 |
+
"decoder_activation_function": "relu",
|
| 110 |
+
"decoder_attention_heads": 8,
|
| 111 |
+
"decoder_ffn_dim": 1024,
|
| 112 |
+
"decoder_in_channels": [
|
| 113 |
+
256,
|
| 114 |
+
256,
|
| 115 |
+
256
|
| 116 |
+
],
|
| 117 |
+
"decoder_layers": 3,
|
| 118 |
+
"decoder_method": "default",
|
| 119 |
+
"decoder_n_points": [
|
| 120 |
+
3,
|
| 121 |
+
6,
|
| 122 |
+
3
|
| 123 |
+
],
|
| 124 |
+
"decoder_offset_scale": 0.5,
|
| 125 |
+
"depth_mult": 0.34,
|
| 126 |
+
"dropout": 0.0,
|
| 127 |
+
"encode_proj_layers": [
|
| 128 |
+
2
|
| 129 |
+
],
|
| 130 |
+
"encoder_activation_function": "gelu",
|
| 131 |
+
"encoder_attention_heads": 8,
|
| 132 |
+
"encoder_ffn_dim": 1024,
|
| 133 |
+
"encoder_hidden_dim": 256,
|
| 134 |
+
"encoder_in_channels": [
|
| 135 |
+
256,
|
| 136 |
+
512,
|
| 137 |
+
1024
|
| 138 |
+
],
|
| 139 |
+
"encoder_layers": 1,
|
| 140 |
+
"eos_coefficient": 0.0001,
|
| 141 |
+
"eval_idx": -1,
|
| 142 |
+
"eval_size": null,
|
| 143 |
+
"feat_strides": [
|
| 144 |
+
8,
|
| 145 |
+
16,
|
| 146 |
+
32
|
| 147 |
+
],
|
| 148 |
+
"focal_loss_alpha": 0.75,
|
| 149 |
+
"focal_loss_gamma": 2.0,
|
| 150 |
+
"freeze_backbone_batch_norms": true,
|
| 151 |
+
"hidden_expansion": 0.5,
|
| 152 |
+
"id2label": {
|
| 153 |
+
"0": "person",
|
| 154 |
+
"1": "bicycle",
|
| 155 |
+
"2": "car",
|
| 156 |
+
"3": "motorbike",
|
| 157 |
+
"4": "aeroplane",
|
| 158 |
+
"5": "bus",
|
| 159 |
+
"6": "train",
|
| 160 |
+
"7": "truck",
|
| 161 |
+
"8": "boat",
|
| 162 |
+
"9": "traffic light",
|
| 163 |
+
"10": "fire hydrant",
|
| 164 |
+
"11": "stop sign",
|
| 165 |
+
"12": "parking meter",
|
| 166 |
+
"13": "bench",
|
| 167 |
+
"14": "bird",
|
| 168 |
+
"15": "cat",
|
| 169 |
+
"16": "dog",
|
| 170 |
+
"17": "horse",
|
| 171 |
+
"18": "sheep",
|
| 172 |
+
"19": "cow",
|
| 173 |
+
"20": "elephant",
|
| 174 |
+
"21": "bear",
|
| 175 |
+
"22": "zebra",
|
| 176 |
+
"23": "giraffe",
|
| 177 |
+
"24": "backpack",
|
| 178 |
+
"25": "umbrella",
|
| 179 |
+
"26": "handbag",
|
| 180 |
+
"27": "tie",
|
| 181 |
+
"28": "suitcase",
|
| 182 |
+
"29": "frisbee",
|
| 183 |
+
"30": "skis",
|
| 184 |
+
"31": "snowboard",
|
| 185 |
+
"32": "sports ball",
|
| 186 |
+
"33": "kite",
|
| 187 |
+
"34": "baseball bat",
|
| 188 |
+
"35": "baseball glove",
|
| 189 |
+
"36": "skateboard",
|
| 190 |
+
"37": "surfboard",
|
| 191 |
+
"38": "tennis racket",
|
| 192 |
+
"39": "bottle",
|
| 193 |
+
"40": "wine glass",
|
| 194 |
+
"41": "cup",
|
| 195 |
+
"42": "fork",
|
| 196 |
+
"43": "knife",
|
| 197 |
+
"44": "spoon",
|
| 198 |
+
"45": "bowl",
|
| 199 |
+
"46": "banana",
|
| 200 |
+
"47": "apple",
|
| 201 |
+
"48": "sandwich",
|
| 202 |
+
"49": "orange",
|
| 203 |
+
"50": "broccoli",
|
| 204 |
+
"51": "carrot",
|
| 205 |
+
"52": "hot dog",
|
| 206 |
+
"53": "pizza",
|
| 207 |
+
"54": "donut",
|
| 208 |
+
"55": "cake",
|
| 209 |
+
"56": "chair",
|
| 210 |
+
"57": "sofa",
|
| 211 |
+
"58": "pottedplant",
|
| 212 |
+
"59": "bed",
|
| 213 |
+
"60": "diningtable",
|
| 214 |
+
"61": "toilet",
|
| 215 |
+
"62": "tvmonitor",
|
| 216 |
+
"63": "laptop",
|
| 217 |
+
"64": "mouse",
|
| 218 |
+
"65": "remote",
|
| 219 |
+
"66": "keyboard",
|
| 220 |
+
"67": "cell phone",
|
| 221 |
+
"68": "microwave",
|
| 222 |
+
"69": "oven",
|
| 223 |
+
"70": "toaster",
|
| 224 |
+
"71": "sink",
|
| 225 |
+
"72": "refrigerator",
|
| 226 |
+
"73": "book",
|
| 227 |
+
"74": "clock",
|
| 228 |
+
"75": "vase",
|
| 229 |
+
"76": "scissors",
|
| 230 |
+
"77": "teddy bear",
|
| 231 |
+
"78": "hair drier",
|
| 232 |
+
"79": "toothbrush"
|
| 233 |
+
},
|
| 234 |
+
"initializer_bias_prior_prob": null,
|
| 235 |
+
"initializer_range": 0.01,
|
| 236 |
+
"is_encoder_decoder": true,
|
| 237 |
+
"label2id": {
|
| 238 |
+
"aeroplane": 4,
|
| 239 |
+
"apple": 47,
|
| 240 |
+
"backpack": 24,
|
| 241 |
+
"banana": 46,
|
| 242 |
+
"baseball bat": 34,
|
| 243 |
+
"baseball glove": 35,
|
| 244 |
+
"bear": 21,
|
| 245 |
+
"bed": 59,
|
| 246 |
+
"bench": 13,
|
| 247 |
+
"bicycle": 1,
|
| 248 |
+
"bird": 14,
|
| 249 |
+
"boat": 8,
|
| 250 |
+
"book": 73,
|
| 251 |
+
"bottle": 39,
|
| 252 |
+
"bowl": 45,
|
| 253 |
+
"broccoli": 50,
|
| 254 |
+
"bus": 5,
|
| 255 |
+
"cake": 55,
|
| 256 |
+
"car": 2,
|
| 257 |
+
"carrot": 51,
|
| 258 |
+
"cat": 15,
|
| 259 |
+
"cell phone": 67,
|
| 260 |
+
"chair": 56,
|
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onnx/model.onnx
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