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yolo11m-sea-urchin-detector

Object Detection
ONNX
English
YOLO11m
yolo
yolo11
yolo11m
urchin
sea
marine-detection
Model card Files Community
akridge commited on
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+ description: Ultralytics YOLO11m model trained on O:\OTHER\AI_DATASETS\yolo\datasets\urchin_datasetv2\split_dataset\data.yaml
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+ author: Ultralytics
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+ date: '2024-10-21T14:05:16.912634'
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+ version: 8.3.17
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+ license: AGPL-3.0 License (https://ultralytics.com/license)
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+ docs: https://docs.ultralytics.com
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+ stride: 32
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+ task: detect
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+ batch: 1
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+ names:
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+ 0: urchin
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120
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123
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125
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131
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133
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134
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135
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148
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151
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161
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164
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165
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167
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170
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173
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178
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181
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182
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184
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185
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187
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188
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190
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192
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193
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194
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196
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197
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199
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202
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203
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205
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208
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211
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+ Concat cat_15 3 1 227 229 252 253 0=0
214
+ Convolution conv_66 1 1 253 254 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=98304
215
+ Swish silu_172 1 1 254 255
216
+ Split splitncnn_28 1 3 255 256 257 258
217
+ Convolution conv_67 1 1 257 259 0=256 1=3 11=3 12=1 13=2 14=1 2=1 3=2 4=1 5=1 6=589824
218
+ Swish silu_173 1 1 259 260
219
+ Concat cat_16 2 1 260 221 261 0=0
220
+ Convolution conv_68 1 1 261 262 0=512 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=393216
221
+ Swish silu_174 1 1 262 263
222
+ Slice split_8 1 2 263 264 265 -23300=2,256,256 1=0
223
+ Split splitncnn_29 1 3 265 266 267 268
224
+ Convolution conv_69 1 1 268 269 0=128 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=32768
225
+ Swish silu_175 1 1 269 270
226
+ Split splitncnn_30 1 2 270 271 272
227
+ Convolution conv_70 1 1 272 273 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
228
+ Swish silu_176 1 1 273 274
229
+ Convolution conv_71 1 1 274 275 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
230
+ Swish silu_177 1 1 275 276
231
+ BinaryOp add_16 2 1 271 276 277 0=0
232
+ Split splitncnn_31 1 2 277 278 279
233
+ Convolution conv_72 1 1 279 280 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
234
+ Swish silu_178 1 1 280 281
235
+ Convolution conv_73 1 1 281 282 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
236
+ Swish silu_179 1 1 282 283
237
+ BinaryOp add_17 2 1 278 283 284 0=0
238
+ Convolution conv_74 1 1 267 285 0=128 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=32768
239
+ Swish silu_180 1 1 285 286
240
+ Concat cat_17 2 1 284 286 287 0=0
241
+ Convolution conv_75 1 1 287 288 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=65536
242
+ Swish silu_181 1 1 288 289
243
+ Concat cat_18 3 1 264 266 289 290 0=0
244
+ Convolution conv_76 1 1 290 291 0=512 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=393216
245
+ Swish silu_182 1 1 291 292
246
+ Split splitncnn_32 1 3 292 293 294 295
247
+ Convolution conv_77 1 1 294 296 0=512 1=3 11=3 12=1 13=2 14=1 2=1 3=2 4=1 5=1 6=2359296
248
+ Swish silu_183 1 1 296 297
249
+ Concat cat_19 2 1 297 186 298 0=0
250
+ Convolution conv_78 1 1 298 299 0=512 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=524288
251
+ Swish silu_184 1 1 299 300
252
+ Slice split_9 1 2 300 301 302 -23300=2,256,256 1=0
253
+ Split splitncnn_33 1 3 302 303 304 305
254
+ Convolution conv_79 1 1 305 306 0=128 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=32768
255
+ Swish silu_185 1 1 306 307
256
+ Split splitncnn_34 1 2 307 308 309
257
+ Convolution conv_80 1 1 309 310 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
258
+ Swish silu_186 1 1 310 311
259
+ Convolution conv_81 1 1 311 312 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
260
+ Swish silu_187 1 1 312 313
261
+ BinaryOp add_18 2 1 308 313 314 0=0
262
+ Split splitncnn_35 1 2 314 315 316
263
+ Convolution conv_82 1 1 316 317 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
264
+ Swish silu_188 1 1 317 318
265
+ Convolution conv_83 1 1 318 319 0=128 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
266
+ Swish silu_189 1 1 319 320
267
+ BinaryOp add_19 2 1 315 320 321 0=0
268
+ Convolution conv_84 1 1 304 322 0=128 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=32768
269
+ Swish silu_190 1 1 322 323
270
+ Concat cat_20 2 1 321 323 324 0=0
271
+ Convolution conv_85 1 1 324 325 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=65536
272
+ Swish silu_191 1 1 325 326
273
+ Concat cat_21 3 1 301 303 326 327 0=0
274
+ Convolution conv_86 1 1 327 328 0=512 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=393216
275
+ Swish silu_192 1 1 328 329
276
+ Split splitncnn_36 1 2 329 330 331
277
+ MemoryData pnnx_213 0 1 332 0=8400
278
+ Convolution conv_87 1 1 256 333 0=64 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=147456
279
+ Swish silu_193 1 1 333 334
280
+ Convolution conv_88 1 1 334 335 0=64 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=36864
281
+ Swish silu_194 1 1 335 336
282
+ Convolution conv_89 1 1 336 337 0=64 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=4096
283
+ ConvolutionDepthWise convdw_231 1 1 258 338 0=256 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=2304 7=256
284
+ Swish silu_195 1 1 338 339
285
+ Convolution conv_90 1 1 339 340 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=65536
286
+ Swish silu_196 1 1 340 341
287
+ ConvolutionDepthWise convdw_232 1 1 341 342 0=256 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=2304 7=256
288
+ Swish silu_197 1 1 342 343
289
+ Convolution conv_91 1 1 343 344 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=65536
290
+ Swish silu_198 1 1 344 345
291
+ Convolution conv_92 1 1 345 346 0=1 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=256
292
+ Concat cat_22 2 1 337 346 347 0=0
293
+ Convolution conv_93 1 1 293 348 0=64 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=294912
294
+ Swish silu_199 1 1 348 349
295
+ Convolution conv_94 1 1 349 350 0=64 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=36864
296
+ Swish silu_200 1 1 350 351
297
+ Convolution conv_95 1 1 351 352 0=64 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=4096
298
+ ConvolutionDepthWise convdw_233 1 1 295 353 0=512 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=4608 7=512
299
+ Swish silu_201 1 1 353 354
300
+ Convolution conv_96 1 1 354 355 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=131072
301
+ Swish silu_202 1 1 355 356
302
+ ConvolutionDepthWise convdw_234 1 1 356 357 0=256 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=2304 7=256
303
+ Swish silu_203 1 1 357 358
304
+ Convolution conv_97 1 1 358 359 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=65536
305
+ Swish silu_204 1 1 359 360
306
+ Convolution conv_98 1 1 360 361 0=1 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=256
307
+ Concat cat_23 2 1 352 361 362 0=0
308
+ Convolution conv_99 1 1 330 363 0=64 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=294912
309
+ Swish silu_205 1 1 363 364
310
+ Convolution conv_100 1 1 364 365 0=64 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=36864
311
+ Swish silu_206 1 1 365 366
312
+ Convolution conv_101 1 1 366 367 0=64 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=4096
313
+ ConvolutionDepthWise convdw_235 1 1 331 368 0=512 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=4608 7=512
314
+ Swish silu_207 1 1 368 369
315
+ Convolution conv_102 1 1 369 370 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=131072
316
+ Swish silu_208 1 1 370 371
317
+ ConvolutionDepthWise convdw_236 1 1 371 372 0=256 1=3 11=3 12=1 13=1 14=1 2=1 3=1 4=1 5=1 6=2304 7=256
318
+ Swish silu_209 1 1 372 373
319
+ Convolution conv_103 1 1 373 374 0=256 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=65536
320
+ Swish silu_210 1 1 374 375
321
+ Convolution conv_104 1 1 375 376 0=1 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=1 6=256
322
+ Concat cat_24 2 1 367 376 377 0=0
323
+ Reshape view_220 1 1 347 378 0=6400 1=65
324
+ Reshape view_221 1 1 362 379 0=1600 1=65
325
+ Reshape view_222 1 1 377 380 0=400 1=65
326
+ Concat cat_25 3 1 378 379 380 381 0=1
327
+ Slice split_10 1 2 381 382 383 -23300=2,64,1 1=0
328
+ Reshape view_223 1 1 382 384 0=8400 1=16 2=4
329
+ Permute transpose_229 1 1 384 385 0=2
330
+ Softmax softmax_215 1 1 385 386 0=0 1=1
331
+ Convolution conv_105 1 1 386 387 0=1 1=1 11=1 12=1 13=1 14=0 2=1 3=1 4=0 5=0 6=16
332
+ Reshape view_224 1 1 387 388 0=8400 1=4
333
+ MemoryData pnnx_fold_anchor_points.1 0 1 389 0=8400 1=2
334
+ MemoryData pnnx_fold_anchor_points.1_1 0 1 390 0=8400 1=2
335
+ Slice chunk_0 1 2 388 391 392 -23300=2,-233,-233 1=0
336
+ BinaryOp sub_20 2 1 389 391 393 0=1
337
+ Split splitncnn_37 1 2 393 394 395
338
+ BinaryOp add_21 2 1 390 392 396 0=0
339
+ Split splitncnn_38 1 2 396 397 398
340
+ BinaryOp add_22 2 1 394 397 399 0=0
341
+ BinaryOp div_23 1 1 399 400 0=3 1=1 2=2.000000e+00
342
+ BinaryOp sub_24 2 1 398 395 401 0=1
343
+ Concat cat_26 2 1 400 401 402 0=0
344
+ Reshape reshape_217 1 1 332 403 0=8400 1=1
345
+ BinaryOp mul_25 2 1 402 403 404 0=2
346
+ Sigmoid sigmoid_213 1 1 383 405
347
+ Concat cat_27 2 1 404 405 out0 0=0
train/weights/best_ncnn_model/model_ncnn.py ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ import ncnn
3
+ import torch
4
+
5
+ def test_inference():
6
+ torch.manual_seed(0)
7
+ in0 = torch.rand(1, 3, 640, 640, dtype=torch.float)
8
+ out = []
9
+
10
+ with ncnn.Net() as net:
11
+ net.load_param("training_logs\train\weights\best_ncnn_model\model.ncnn.param")
12
+ net.load_model("training_logs\train\weights\best_ncnn_model\model.ncnn.bin")
13
+
14
+ with net.create_extractor() as ex:
15
+ ex.input("in0", ncnn.Mat(in0.squeeze(0).numpy()).clone())
16
+
17
+ _, out0 = ex.extract("out0")
18
+ out.append(torch.from_numpy(np.array(out0)).unsqueeze(0))
19
+
20
+ if len(out) == 1:
21
+ return out[0]
22
+ else:
23
+ return tuple(out)
24
+
25
+ if __name__ == "__main__":
26
+ print(test_inference())
train/weights/last.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5867096f5ade70db363f7086f74aa3cf1e0a2869fea44092d13e3daf15f309ee
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+ size 40517285
yolo11m_urchin_trained.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9e263837f7c43675e1ec2bbfda6319c8a591ba06da96b011f65f615ac76aff9b
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+ size 40628379
yolo11m_urchin_weights.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:268006738237d71f97d585ae94a229854cce5e3f1429b130dcca987367d2879b
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+ size 80629527