Upload folder using huggingface_hub
Browse files- config.json +268 -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_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- preprocessor_config.json +26 -0
- quantize_config.json +141 -0
config.json
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{
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"_name_or_path": "PekingU/rtdetr_r18vd_coco_o365",
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"activation_dropout": 0.0,
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"activation_function": "silu",
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"anchor_image_size": [
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640,
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640
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],
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"architectures": [
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"RTDetrForObjectDetection"
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],
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"attention_dropout": 0.0,
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"auxiliary_loss": true,
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"backbone": null,
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"backbone_config": {
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"depths": [
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2,
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2,
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2,
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2
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],
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"hidden_sizes": [
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64,
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128,
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256,
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512
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],
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"layer_type": "basic",
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"model_type": "rt_detr_resnet",
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"out_features": [
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"stage2",
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"stage3",
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"stage4"
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],
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"out_indices": [
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2,
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3,
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4
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]
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},
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"backbone_kwargs": null,
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"batch_norm_eps": 1e-05,
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"box_noise_scale": 1.0,
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"d_model": 256,
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"decoder_activation_function": "relu",
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"decoder_attention_heads": 8,
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"decoder_ffn_dim": 1024,
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"decoder_in_channels": [
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256,
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256,
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256
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],
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"decoder_layers": 3,
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"decoder_n_points": 4,
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"disable_custom_kernels": true,
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"dropout": 0.0,
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"encode_proj_layers": [
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2
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],
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"encoder_activation_function": "gelu",
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"encoder_attention_heads": 8,
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"encoder_ffn_dim": 1024,
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"encoder_hidden_dim": 256,
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"encoder_in_channels": [
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128,
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256,
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512
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],
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"encoder_layers": 1,
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"eos_coefficient": 0.0001,
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"eval_size": null,
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"feat_strides": [
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8,
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16,
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32
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],
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"focal_loss_alpha": 0.75,
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"focal_loss_gamma": 2.0,
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"hidden_expansion": 0.5,
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"id2label": {
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"0": "person",
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"1": "bicycle",
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"2": "car",
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"3": "motorbike",
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"4": "aeroplane",
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"5": "bus",
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"6": "train",
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"7": "truck",
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"8": "boat",
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"9": "traffic light",
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"10": "fire hydrant",
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"11": "stop sign",
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"12": "parking meter",
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"13": "bench",
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"14": "bird",
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"15": "cat",
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"16": "dog",
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"17": "horse",
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"18": "sheep",
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"19": "cow",
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"20": "elephant",
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"21": "bear",
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"22": "zebra",
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"23": "giraffe",
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"24": "backpack",
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"25": "umbrella",
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"26": "handbag",
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"27": "tie",
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"28": "suitcase",
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"29": "frisbee",
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"30": "skis",
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"31": "snowboard",
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"32": "sports ball",
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"33": "kite",
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"34": "baseball bat",
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"35": "baseball glove",
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"36": "skateboard",
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"37": "surfboard",
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"38": "tennis racket",
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"39": "bottle",
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"40": "wine glass",
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"41": "cup",
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"42": "fork",
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"43": "knife",
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"44": "spoon",
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"45": "bowl",
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"46": "banana",
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"47": "apple",
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"48": "sandwich",
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"49": "orange",
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"50": "broccoli",
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"51": "carrot",
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"52": "hot dog",
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"53": "pizza",
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"54": "donut",
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"55": "cake",
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"56": "chair",
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"57": "sofa",
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"58": "pottedplant",
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"59": "bed",
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"60": "diningtable",
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"61": "toilet",
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"62": "tvmonitor",
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"63": "laptop",
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"64": "mouse",
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"65": "remote",
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"66": "keyboard",
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"67": "cell phone",
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"68": "microwave",
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"69": "oven",
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"70": "toaster",
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"71": "sink",
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"72": "refrigerator",
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"73": "book",
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"74": "clock",
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"75": "vase",
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"76": "scissors",
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"77": "teddy bear",
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"78": "hair drier",
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"79": "toothbrush"
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},
|
162 |
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"initializer_range": 0.01,
|
163 |
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"is_encoder_decoder": true,
|
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"label2id": {
|
165 |
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"aeroplane": 4,
|
166 |
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"apple": 47,
|
167 |
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"backpack": 24,
|
168 |
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"banana": 46,
|
169 |
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"baseball bat": 34,
|
170 |
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"baseball glove": 35,
|
171 |
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"bear": 21,
|
172 |
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"bed": 59,
|
173 |
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"bench": 13,
|
174 |
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"bicycle": 1,
|
175 |
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"bird": 14,
|
176 |
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"boat": 8,
|
177 |
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"book": 73,
|
178 |
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"bottle": 39,
|
179 |
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"bowl": 45,
|
180 |
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"broccoli": 50,
|
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"bus": 5,
|
182 |
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"cake": 55,
|
183 |
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"car": 2,
|
184 |
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"carrot": 51,
|
185 |
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"cat": 15,
|
186 |
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"cell phone": 67,
|
187 |
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"chair": 56,
|
188 |
+
"clock": 74,
|
189 |
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"cow": 19,
|
190 |
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"cup": 41,
|
191 |
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"diningtable": 60,
|
192 |
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"dog": 16,
|
193 |
+
"donut": 54,
|
194 |
+
"elephant": 20,
|
195 |
+
"fire hydrant": 10,
|
196 |
+
"fork": 42,
|
197 |
+
"frisbee": 29,
|
198 |
+
"giraffe": 23,
|
199 |
+
"hair drier": 78,
|
200 |
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"handbag": 26,
|
201 |
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"horse": 17,
|
202 |
+
"hot dog": 52,
|
203 |
+
"keyboard": 66,
|
204 |
+
"kite": 33,
|
205 |
+
"knife": 43,
|
206 |
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"laptop": 63,
|
207 |
+
"microwave": 68,
|
208 |
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"motorbike": 3,
|
209 |
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"mouse": 64,
|
210 |
+
"orange": 49,
|
211 |
+
"oven": 69,
|
212 |
+
"parking meter": 12,
|
213 |
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"person": 0,
|
214 |
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"pizza": 53,
|
215 |
+
"pottedplant": 58,
|
216 |
+
"refrigerator": 72,
|
217 |
+
"remote": 65,
|
218 |
+
"sandwich": 48,
|
219 |
+
"scissors": 76,
|
220 |
+
"sheep": 18,
|
221 |
+
"sink": 71,
|
222 |
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"skateboard": 36,
|
223 |
+
"skis": 30,
|
224 |
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"snowboard": 31,
|
225 |
+
"sofa": 57,
|
226 |
+
"spoon": 44,
|
227 |
+
"sports ball": 32,
|
228 |
+
"stop sign": 11,
|
229 |
+
"suitcase": 28,
|
230 |
+
"surfboard": 37,
|
231 |
+
"teddy bear": 77,
|
232 |
+
"tennis racket": 38,
|
233 |
+
"tie": 27,
|
234 |
+
"toaster": 70,
|
235 |
+
"toilet": 61,
|
236 |
+
"toothbrush": 79,
|
237 |
+
"traffic light": 9,
|
238 |
+
"train": 6,
|
239 |
+
"truck": 7,
|
240 |
+
"tvmonitor": 62,
|
241 |
+
"umbrella": 25,
|
242 |
+
"vase": 75,
|
243 |
+
"wine glass": 40,
|
244 |
+
"zebra": 22
|
245 |
+
},
|
246 |
+
"label_noise_ratio": 0.5,
|
247 |
+
"layer_norm_eps": 1e-05,
|
248 |
+
"learn_initial_query": false,
|
249 |
+
"matcher_alpha": 0.25,
|
250 |
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"matcher_bbox_cost": 5.0,
|
251 |
+
"matcher_class_cost": 2.0,
|
252 |
+
"matcher_gamma": 2.0,
|
253 |
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"matcher_giou_cost": 2.0,
|
254 |
+
"model_type": "rt_detr",
|
255 |
+
"normalize_before": false,
|
256 |
+
"num_denoising": 100,
|
257 |
+
"num_feature_levels": 3,
|
258 |
+
"num_queries": 300,
|
259 |
+
"positional_encoding_temperature": 10000,
|
260 |
+
"transformers_version": "4.42.2",
|
261 |
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"use_focal_loss": true,
|
262 |
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"use_pretrained_backbone": false,
|
263 |
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"use_timm_backbone": false,
|
264 |
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"weight_loss_bbox": 5.0,
|
265 |
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"weight_loss_giou": 2.0,
|
266 |
+
"weight_loss_vfl": 1.0,
|
267 |
+
"with_box_refine": true
|
268 |
+
}
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onnx/model.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c74a62251534f427294342508a162a7cd142418b4dd6222d0d0198851724bfa
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size 82572357
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onnx/model_bnb4.onnx
ADDED
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version https://git-lfs.github.com/spec/v1
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size 65960054
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onnx/model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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size 41441171
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onnx/model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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size 21713196
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onnx/model_q4.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:3855f60797587d93675753b2f61058dcd84698e4fe2e37ceb35230fecfbd59de
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size 66288690
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:957de245529a3283a178057e0f71b36abfc6b6561dc38af5a11583884697cf58
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size 21713196
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onnx/model_uint8.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:957de245529a3283a178057e0f71b36abfc6b6561dc38af5a11583884697cf58
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size 21713196
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preprocessor_config.json
ADDED
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{
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"do_convert_annotations": true,
|
3 |
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"do_normalize": false,
|
4 |
+
"do_pad": false,
|
5 |
+
"do_rescale": true,
|
6 |
+
"do_resize": true,
|
7 |
+
"format": "coco_detection",
|
8 |
+
"image_mean": [
|
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+
0.485,
|
10 |
+
0.456,
|
11 |
+
0.406
|
12 |
+
],
|
13 |
+
"image_processor_type": "RTDetrImageProcessor",
|
14 |
+
"image_std": [
|
15 |
+
0.229,
|
16 |
+
0.224,
|
17 |
+
0.225
|
18 |
+
],
|
19 |
+
"pad_size": null,
|
20 |
+
"resample": 2,
|
21 |
+
"rescale_factor": 0.00392156862745098,
|
22 |
+
"size": {
|
23 |
+
"height": 640,
|
24 |
+
"width": 640
|
25 |
+
}
|
26 |
+
}
|
quantize_config.json
ADDED
@@ -0,0 +1,141 @@
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|
1 |
+
{
|
2 |
+
"fp16": {},
|
3 |
+
"q8": {
|
4 |
+
"per_model_config": {
|
5 |
+
"model": {
|
6 |
+
"op_types": [
|
7 |
+
"Add",
|
8 |
+
"AveragePool",
|
9 |
+
"Clip",
|
10 |
+
"Concat",
|
11 |
+
"Conv",
|
12 |
+
"Div",
|
13 |
+
"Erf",
|
14 |
+
"Gather",
|
15 |
+
"GatherElements",
|
16 |
+
"GridSample",
|
17 |
+
"Log",
|
18 |
+
"MatMul",
|
19 |
+
"MaxPool",
|
20 |
+
"Mul",
|
21 |
+
"Pow",
|
22 |
+
"ReduceMax",
|
23 |
+
"ReduceMean",
|
24 |
+
"ReduceSum",
|
25 |
+
"Relu",
|
26 |
+
"Reshape",
|
27 |
+
"Resize",
|
28 |
+
"Shape",
|
29 |
+
"Sigmoid",
|
30 |
+
"Slice",
|
31 |
+
"Softmax",
|
32 |
+
"Split",
|
33 |
+
"Sqrt",
|
34 |
+
"Sub",
|
35 |
+
"Tile",
|
36 |
+
"TopK",
|
37 |
+
"Transpose",
|
38 |
+
"Unsqueeze"
|
39 |
+
],
|
40 |
+
"weight_type": "QUInt8"
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"per_channel": true,
|
44 |
+
"reduce_range": true
|
45 |
+
},
|
46 |
+
"int8": {
|
47 |
+
"per_model_config": {
|
48 |
+
"model": {
|
49 |
+
"op_types": [
|
50 |
+
"Add",
|
51 |
+
"AveragePool",
|
52 |
+
"Clip",
|
53 |
+
"Concat",
|
54 |
+
"Conv",
|
55 |
+
"Div",
|
56 |
+
"Erf",
|
57 |
+
"Gather",
|
58 |
+
"GatherElements",
|
59 |
+
"GridSample",
|
60 |
+
"Log",
|
61 |
+
"MatMul",
|
62 |
+
"MaxPool",
|
63 |
+
"Mul",
|
64 |
+
"Pow",
|
65 |
+
"ReduceMax",
|
66 |
+
"ReduceMean",
|
67 |
+
"ReduceSum",
|
68 |
+
"Relu",
|
69 |
+
"Reshape",
|
70 |
+
"Resize",
|
71 |
+
"Shape",
|
72 |
+
"Sigmoid",
|
73 |
+
"Slice",
|
74 |
+
"Softmax",
|
75 |
+
"Split",
|
76 |
+
"Sqrt",
|
77 |
+
"Sub",
|
78 |
+
"Tile",
|
79 |
+
"TopK",
|
80 |
+
"Transpose",
|
81 |
+
"Unsqueeze"
|
82 |
+
],
|
83 |
+
"weight_type": "QInt8"
|
84 |
+
}
|
85 |
+
},
|
86 |
+
"per_channel": true,
|
87 |
+
"reduce_range": true
|
88 |
+
},
|
89 |
+
"uint8": {
|
90 |
+
"per_model_config": {
|
91 |
+
"model": {
|
92 |
+
"op_types": [
|
93 |
+
"Add",
|
94 |
+
"AveragePool",
|
95 |
+
"Clip",
|
96 |
+
"Concat",
|
97 |
+
"Conv",
|
98 |
+
"Div",
|
99 |
+
"Erf",
|
100 |
+
"Gather",
|
101 |
+
"GatherElements",
|
102 |
+
"GridSample",
|
103 |
+
"Log",
|
104 |
+
"MatMul",
|
105 |
+
"MaxPool",
|
106 |
+
"Mul",
|
107 |
+
"Pow",
|
108 |
+
"ReduceMax",
|
109 |
+
"ReduceMean",
|
110 |
+
"ReduceSum",
|
111 |
+
"Relu",
|
112 |
+
"Reshape",
|
113 |
+
"Resize",
|
114 |
+
"Shape",
|
115 |
+
"Sigmoid",
|
116 |
+
"Slice",
|
117 |
+
"Softmax",
|
118 |
+
"Split",
|
119 |
+
"Sqrt",
|
120 |
+
"Sub",
|
121 |
+
"Tile",
|
122 |
+
"TopK",
|
123 |
+
"Transpose",
|
124 |
+
"Unsqueeze"
|
125 |
+
],
|
126 |
+
"weight_type": "QUInt8"
|
127 |
+
}
|
128 |
+
},
|
129 |
+
"per_channel": true,
|
130 |
+
"reduce_range": true
|
131 |
+
},
|
132 |
+
"q4": {
|
133 |
+
"block_size": 32,
|
134 |
+
"is_symmetric": true,
|
135 |
+
"accuracy_level": null
|
136 |
+
},
|
137 |
+
"bnb4": {
|
138 |
+
"block_size": 64,
|
139 |
+
"quant_type": 1
|
140 |
+
}
|
141 |
+
}
|