首页下载资源人工智能tensorrt yolo系列 转trt模型plugin

ZIPtensorrt yolo系列 转trt模型plugin

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资源文件列表:

tensorrtx-master.zip 大约有586个文件
  1. tensorrtx-master/
  2. tensorrtx-master/.clang-format 2.54KB
  3. tensorrtx-master/.github/
  4. tensorrtx-master/.github/ISSUE_TEMPLATE/
  5. tensorrtx-master/.github/ISSUE_TEMPLATE/tensorrtx-issue-template.md 461B
  6. tensorrtx-master/.github/stale.yml 684B
  7. tensorrtx-master/.github/workflows/
  8. tensorrtx-master/.github/workflows/pre-commit.yml 453B
  9. tensorrtx-master/.gitignore 40B
  10. tensorrtx-master/.pre-commit-config.yaml 521B
  11. tensorrtx-master/LICENSE 1.05KB
  12. tensorrtx-master/README.md 13.25KB
  13. tensorrtx-master/alexnet/
  14. tensorrtx-master/alexnet/CMakeLists.txt 686B
  15. tensorrtx-master/alexnet/README.md 896B
  16. tensorrtx-master/alexnet/alex.cpp 10.5KB
  17. tensorrtx-master/alexnet/alexnet.py 8.71KB
  18. tensorrtx-master/alexnet/logging.h 16.16KB
  19. tensorrtx-master/arcface/
  20. tensorrtx-master/arcface/CMakeLists.txt 1.66KB
  21. tensorrtx-master/arcface/README.md 3.03KB
  22. tensorrtx-master/arcface/arcface-mobilefacenet.cpp 18.77KB
  23. tensorrtx-master/arcface/arcface-r100.cpp 19.97KB
  24. tensorrtx-master/arcface/arcface-r50.cpp 17.13KB
  25. tensorrtx-master/arcface/gen_wts.py 1.38KB
  26. tensorrtx-master/arcface/logging.h 16.28KB
  27. tensorrtx-master/arcface/macros.h 210B
  28. tensorrtx-master/arcface/prelu.cu 6.83KB
  29. tensorrtx-master/arcface/prelu.h 3.86KB
  30. tensorrtx-master/centernet/
  31. tensorrtx-master/centernet/README.md 1.12KB
  32. tensorrtx-master/centernet/centernet.py 15.65KB
  33. tensorrtx-master/centernet/dcnv2Plugin/
  34. tensorrtx-master/centernet/dcnv2Plugin/CMakeLists.txt 867B
  35. tensorrtx-master/centernet/dcnv2Plugin/dcn_v2_im2col_cuda.cu 19.33KB
  36. tensorrtx-master/centernet/dcnv2Plugin/dcn_v2_im2col_cuda.h 5.12KB
  37. tensorrtx-master/centernet/dcnv2Plugin/dcnv2Plugin.cpp 14.4KB
  38. tensorrtx-master/centernet/dcnv2Plugin/dcnv2Plugin.h 4.33KB
  39. tensorrtx-master/centernet/sample/
  40. tensorrtx-master/centernet/sample/common.py 9.41KB
  41. tensorrtx-master/centernet/sample/test.py 4.55KB
  42. tensorrtx-master/crnn/
  43. tensorrtx-master/crnn/CMakeLists.txt 879B
  44. tensorrtx-master/crnn/README.md 1005B
  45. tensorrtx-master/crnn/crnn.cpp 17.99KB
  46. tensorrtx-master/crnn/genwts.py 859B
  47. tensorrtx-master/crnn/logging.h 16.16KB
  48. tensorrtx-master/csrnet/
  49. tensorrtx-master/csrnet/CMakeLists.txt 667B
  50. tensorrtx-master/csrnet/README.md 1.42KB
  51. tensorrtx-master/csrnet/config.h 518B
  52. tensorrtx-master/csrnet/csrnet.cpp 19.25KB
  53. tensorrtx-master/csrnet/gen_wts.py 845B
  54. tensorrtx-master/csrnet/logging.h 15.75KB
  55. tensorrtx-master/csrnet/macros.h 211B
  56. tensorrtx-master/dbnet/
  57. tensorrtx-master/dbnet/CMakeLists.txt 850B
  58. tensorrtx-master/dbnet/README.md 1.63KB
  59. tensorrtx-master/dbnet/clipper/
  60. tensorrtx-master/dbnet/clipper/CMakeLists.txt 118B
  61. tensorrtx-master/dbnet/clipper/clipper.cpp 134.39KB
  62. tensorrtx-master/dbnet/clipper/clipper.hpp 14.67KB
  63. tensorrtx-master/dbnet/common.hpp 6.31KB
  64. tensorrtx-master/dbnet/dbnet.cpp 23.1KB
  65. tensorrtx-master/dbnet/logging.h 16.16KB
  66. tensorrtx-master/dbnet/utils.h 3.07KB
  67. tensorrtx-master/densenet/
  68. tensorrtx-master/densenet/CMakeLists.txt 901B
  69. tensorrtx-master/densenet/README.md 1.01KB
  70. tensorrtx-master/densenet/densenet121.cpp 14.16KB
  71. tensorrtx-master/densenet/densenet121.py 9.96KB
  72. tensorrtx-master/densenet/logging.h 16.26KB
  73. tensorrtx-master/detr/
  74. tensorrtx-master/detr/CMakeLists.txt 929B
  75. tensorrtx-master/detr/README.md 2.72KB
  76. tensorrtx-master/detr/backbone.hpp 9.48KB
  77. tensorrtx-master/detr/calibrator.hpp 4.06KB
  78. tensorrtx-master/detr/common.hpp 2.66KB
  79. tensorrtx-master/detr/detr.cpp 27.36KB
  80. tensorrtx-master/detr/gen_wts.py 3.84KB
  81. tensorrtx-master/detr/logging.h 16KB
  82. tensorrtx-master/detr/macros.h 485B
  83. tensorrtx-master/docker/
  84. tensorrtx-master/docker/trt7/
  85. tensorrtx-master/docker/trt7/Dockerfile 488B
  86. tensorrtx-master/docker/trt8/
  87. tensorrtx-master/docker/trt8/Dockerfile 82B
  88. tensorrtx-master/docker/trt8/README.md 1.38KB
  89. tensorrtx-master/efficient_ad/
  90. tensorrtx-master/efficient_ad/CMakeLists.txt 1.37KB
  91. tensorrtx-master/efficient_ad/README.md 1.33KB
  92. tensorrtx-master/efficient_ad/datas/
  93. tensorrtx-master/efficient_ad/datas/models/
  94. tensorrtx-master/efficient_ad/datas/models/gen_wts.py 604B
  95. tensorrtx-master/efficient_ad/efficientAD_det.cpp 9.76KB
  96. tensorrtx-master/efficient_ad/src/
  97. tensorrtx-master/efficient_ad/src/config.h 1.16KB
  98. tensorrtx-master/efficient_ad/src/cuda_utils.h 843B
  99. tensorrtx-master/efficient_ad/src/logging.h 16.31KB
  100. tensorrtx-master/efficient_ad/src/macros.h 484B
  101. tensorrtx-master/efficient_ad/src/model.cpp 18.7KB
  102. tensorrtx-master/efficient_ad/src/model.h 358B
  103. tensorrtx-master/efficient_ad/src/postprocess.h 280B
  104. tensorrtx-master/efficient_ad/src/utils.h 812B
  105. tensorrtx-master/efficientnet/
  106. tensorrtx-master/efficientnet/CMakeLists.txt 744B
  107. tensorrtx-master/efficientnet/README.md 916B
  108. tensorrtx-master/efficientnet/efficientnet.cpp 9.8KB
  109. tensorrtx-master/efficientnet/gen_wts.py 471B
  110. tensorrtx-master/efficientnet/logging.h 16.16KB
  111. tensorrtx-master/efficientnet/utils.hpp 9.22KB
  112. tensorrtx-master/googlenet/
  113. tensorrtx-master/googlenet/CMakeLists.txt 699B
  114. tensorrtx-master/googlenet/README.md 943B
  115. tensorrtx-master/googlenet/googlenet.cpp 13.93KB
  116. tensorrtx-master/googlenet/logging.h 16.16KB
  117. tensorrtx-master/hrnet/
  118. tensorrtx-master/hrnet/hrnet-image-classification/
  119. tensorrtx-master/hrnet/hrnet-image-classification/CMakeLists.txt 562B
  120. tensorrtx-master/hrnet/hrnet-image-classification/README.md 1.18KB
  121. tensorrtx-master/hrnet/hrnet-image-classification/common.hpp 12.73KB
  122. tensorrtx-master/hrnet/hrnet-image-classification/demo.py 4.27KB
  123. tensorrtx-master/hrnet/hrnet-image-classification/hrnet.cpp 47.51KB
  124. tensorrtx-master/hrnet/hrnet-image-classification/logging.h 16.16KB
  125. tensorrtx-master/hrnet/hrnet-semantic-segmentation/
  126. tensorrtx-master/hrnet/hrnet-semantic-segmentation/CMakeLists.txt 1.1KB
  127. tensorrtx-master/hrnet/hrnet-semantic-segmentation/README.md 3.19KB
  128. tensorrtx-master/hrnet/hrnet-semantic-segmentation/common.hpp 15.57KB
  129. tensorrtx-master/hrnet/hrnet-semantic-segmentation/gen_wts.py 1.7KB
  130. tensorrtx-master/hrnet/hrnet-semantic-segmentation/hrnet.cpp 40.73KB
  131. tensorrtx-master/hrnet/hrnet-semantic-segmentation/hrnet_ocr.cpp 46.42KB
  132. tensorrtx-master/hrnet/hrnet-semantic-segmentation/hrnet_trt.py 7.53KB
  133. tensorrtx-master/hrnet/hrnet-semantic-segmentation/logging.h 16.16KB
  134. tensorrtx-master/ibnnet/
  135. tensorrtx-master/ibnnet/CMakeLists.txt 964B
  136. tensorrtx-master/ibnnet/InferenceEngine.cpp 3.63KB
  137. tensorrtx-master/ibnnet/InferenceEngine.h 2.27KB
  138. tensorrtx-master/ibnnet/README.md 998B
  139. tensorrtx-master/ibnnet/gen_wts.py 837B
  140. tensorrtx-master/ibnnet/holder.h 1.04KB
  141. tensorrtx-master/ibnnet/ibnnet.cpp 8.23KB
  142. tensorrtx-master/ibnnet/ibnnet.h 1.09KB
  143. tensorrtx-master/ibnnet/layers.cpp 8.89KB
  144. tensorrtx-master/ibnnet/layers.h 1.25KB
  145. tensorrtx-master/ibnnet/logging.h 16.16KB
  146. tensorrtx-master/ibnnet/main.cpp 2.87KB
  147. tensorrtx-master/ibnnet/utils.cpp 1.13KB
  148. tensorrtx-master/ibnnet/utils.h 897B
  149. tensorrtx-master/inception/
  150. tensorrtx-master/inception/inceptionv3/
  151. tensorrtx-master/inception/inceptionv3/CMakeLists.txt 702B
  152. tensorrtx-master/inception/inceptionv3/README.md 1.1KB
  153. tensorrtx-master/inception/inceptionv3/inception_v3.cpp 19.96KB
  154. tensorrtx-master/inception/inceptionv3/logging.h 16.16KB
  155. tensorrtx-master/inception/inceptionv4/
  156. tensorrtx-master/inception/inceptionv4/CMakeLists.txt 989B
  157. tensorrtx-master/inception/inceptionv4/README.md 1.22KB
  158. tensorrtx-master/inception/inceptionv4/inception_v4.cpp 8.75KB
  159. tensorrtx-master/inception/inceptionv4/inception_v4.h 1.85KB
  160. tensorrtx-master/inception/inceptionv4/layers_api.cpp 14.58KB
  161. tensorrtx-master/inception/inceptionv4/layers_api.h 2.19KB
  162. tensorrtx-master/inception/inceptionv4/logging.h 16.26KB
  163. tensorrtx-master/inception/inceptionv4/main.cpp 2.26KB
  164. tensorrtx-master/inception/inceptionv4/utils.cpp 1.12KB
  165. tensorrtx-master/inception/inceptionv4/utils.h 608B
  166. tensorrtx-master/lenet/
  167. tensorrtx-master/lenet/CMakeLists.txt 801B
  168. tensorrtx-master/lenet/README.md 1.1KB
  169. tensorrtx-master/lenet/lenet.cpp 9.64KB
  170. tensorrtx-master/lenet/lenet.py 5.86KB
  171. tensorrtx-master/lenet/logging.h 16.2KB
  172. tensorrtx-master/lenet/macros.h 211B
  173. tensorrtx-master/lprnet/
  174. tensorrtx-master/lprnet/1.jpg 2.09KB
  175. tensorrtx-master/lprnet/CMakeLists.txt 1018B
  176. tensorrtx-master/lprnet/LPRnet.cpp 19.88KB
  177. tensorrtx-master/lprnet/README.md 776B
  178. tensorrtx-master/lprnet/genwts.py 1.35KB
  179. tensorrtx-master/lprnet/logging.h 16.16KB
  180. tensorrtx-master/mlp/
  181. tensorrtx-master/mlp/CMakeLists.txt 681B
  182. tensorrtx-master/mlp/README.md 1.46KB
  183. tensorrtx-master/mlp/logging.h 16.17KB
  184. tensorrtx-master/mlp/mlp.cpp 10.06KB
  185. tensorrtx-master/mlp/mlp.py 7.62KB
  186. tensorrtx-master/mlp/mlp.wts 50B
  187. tensorrtx-master/mnasnet/
  188. tensorrtx-master/mnasnet/CMakeLists.txt 689B
  189. tensorrtx-master/mnasnet/README.md 874B
  190. tensorrtx-master/mnasnet/logging.h 16.16KB
  191. tensorrtx-master/mnasnet/mnasnet.cpp 13.94KB
  192. tensorrtx-master/mobilenet/
  193. tensorrtx-master/mobilenet/mobilenetv2/
  194. tensorrtx-master/mobilenet/mobilenetv2/CMakeLists.txt 702B
  195. tensorrtx-master/mobilenet/mobilenetv2/README.md 1.42KB
  196. tensorrtx-master/mobilenet/mobilenetv2/logging.h 16.16KB
  197. tensorrtx-master/mobilenet/mobilenetv2/mobilenet_v2.cpp 14.12KB
  198. tensorrtx-master/mobilenet/mobilenetv2/mobilenet_v2.py 10.24KB
  199. tensorrtx-master/mobilenet/mobilenetv3/
  200. tensorrtx-master/mobilenet/mobilenetv3/CMakeLists.txt 740B
  201. tensorrtx-master/mobilenet/mobilenetv3/README.md 1.19KB
  202. tensorrtx-master/mobilenet/mobilenetv3/logging.h 16.16KB
  203. tensorrtx-master/mobilenet/mobilenetv3/mobilenet_v3.cpp 21.47KB
  204. tensorrtx-master/mobilenet/mobilenetv3/mobilenet_v3.py 17.04KB
  205. tensorrtx-master/psenet/
  206. tensorrtx-master/psenet/CMakeLists.txt 958B
  207. tensorrtx-master/psenet/README.md 1.32KB
  208. tensorrtx-master/psenet/gen_tf_wts.py 851B
  209. tensorrtx-master/psenet/layers.cpp 4.58KB
  210. tensorrtx-master/psenet/layers.h 691B
  211. tensorrtx-master/psenet/main.cpp 952B
  212. tensorrtx-master/psenet/psenet.cpp 18.76KB
  213. tensorrtx-master/psenet/psenet.h 1.23KB
  214. tensorrtx-master/psenet/test.jpg 42.07KB
  215. tensorrtx-master/psenet/utils.cpp 2.25KB
  216. tensorrtx-master/psenet/utils.h 2.28KB
  217. tensorrtx-master/rcnn/
  218. tensorrtx-master/rcnn/BatchedNms.cu 6.62KB
  219. tensorrtx-master/rcnn/BatchedNmsPlugin.h 6.53KB
  220. tensorrtx-master/rcnn/CMakeLists.txt 1.3KB
  221. tensorrtx-master/rcnn/MaskRcnnInference.cu 2.34KB
  222. tensorrtx-master/rcnn/MaskRcnnInferencePlugin.h 6.01KB
  223. tensorrtx-master/rcnn/PredictorDecode.cu 4.65KB
  224. tensorrtx-master/rcnn/PredictorDecodePlugin.h 7.5KB
  225. tensorrtx-master/rcnn/README.md 10.8KB
  226. tensorrtx-master/rcnn/RoiAlign.cu 5.93KB
  227. tensorrtx-master/rcnn/RoiAlignPlugin.h 6.9KB
  228. tensorrtx-master/rcnn/RpnDecode.cu 5.7KB
  229. tensorrtx-master/rcnn/RpnDecodePlugin.h 7.26KB
  230. tensorrtx-master/rcnn/RpnNms.cu 5.1KB
  231. tensorrtx-master/rcnn/RpnNmsPlugin.h 6.02KB
  232. tensorrtx-master/rcnn/backbone.hpp 7.32KB
  233. tensorrtx-master/rcnn/calibrator.hpp 4.08KB
  234. tensorrtx-master/rcnn/common.hpp 2.99KB
  235. tensorrtx-master/rcnn/cuda_utils.h 1.09KB
  236. tensorrtx-master/rcnn/gen_wts.py 2.96KB
  237. tensorrtx-master/rcnn/logging.h 16KB
  238. tensorrtx-master/rcnn/macros.h 252B
  239. tensorrtx-master/rcnn/rcnn.cpp 23.5KB
  240. tensorrtx-master/real-esrgan/
  241. tensorrtx-master/real-esrgan/CMakeLists.txt 1.18KB
  242. tensorrtx-master/real-esrgan/README.md 2.02KB
  243. tensorrtx-master/real-esrgan/common.hpp 5.66KB
  244. tensorrtx-master/real-esrgan/cuda_utils.h 494B
  245. tensorrtx-master/real-esrgan/gen_wts.py 4.15KB
  246. tensorrtx-master/real-esrgan/logging.h 16.2KB
  247. tensorrtx-master/real-esrgan/macros.h 462B
  248. tensorrtx-master/real-esrgan/postprocess.cu 1.61KB
  249. tensorrtx-master/real-esrgan/postprocess.hpp 5.58KB
  250. tensorrtx-master/real-esrgan/preprocess.cu 1.56KB
  251. tensorrtx-master/real-esrgan/preprocess.hpp 5.56KB
  252. tensorrtx-master/real-esrgan/real-esrgan.cpp 12.01KB
  253. tensorrtx-master/real-esrgan/utils.h 830B
  254. tensorrtx-master/refinedet/
  255. tensorrtx-master/refinedet/CMakeLists.txt 1.51KB
  256. tensorrtx-master/refinedet/README.md 956B
  257. tensorrtx-master/refinedet/calibrator.cpp 2.87KB
  258. tensorrtx-master/refinedet/calibrator.h 1.15KB
  259. tensorrtx-master/refinedet/configure.h 1.9KB
  260. tensorrtx-master/refinedet/gen_wts_refinedet.py 709B
  261. tensorrtx-master/refinedet/logging.h 16.16KB
  262. tensorrtx-master/refinedet/refinedet.cpp 42.88KB
  263. tensorrtx-master/refinedet/utils.h 1.86KB
  264. tensorrtx-master/repvgg/
  265. tensorrtx-master/repvgg/CMakeLists.txt 685B
  266. tensorrtx-master/repvgg/README.md 985B
  267. tensorrtx-master/repvgg/gen_wts.py 895B
  268. tensorrtx-master/repvgg/logging.h 1.13KB
  269. tensorrtx-master/repvgg/repvgg.cpp 12.63KB
  270. tensorrtx-master/resnet/
  271. tensorrtx-master/resnet/CMakeLists.txt 1.25KB
  272. tensorrtx-master/resnet/README.md 2.79KB
  273. tensorrtx-master/resnet/logging.h 16.16KB
  274. tensorrtx-master/resnet/resnet18.cpp 12.57KB
  275. tensorrtx-master/resnet/resnet34.cpp 13.44KB
  276. tensorrtx-master/resnet/resnet50.cpp 13.54KB
  277. tensorrtx-master/resnet/resnet50.py 9.97KB
  278. tensorrtx-master/resnet/resnext50_32x4d.cpp 13.56KB
  279. tensorrtx-master/resnet/wide_resnet50.py 9.5KB
  280. tensorrtx-master/resnet/wideresnet50.cpp 13.55KB
  281. tensorrtx-master/retinaface/
  282. tensorrtx-master/retinaface/CMakeLists.txt 1.44KB
  283. tensorrtx-master/retinaface/README.md 2.62KB
  284. tensorrtx-master/retinaface/calibrator.cpp 2.78KB
  285. tensorrtx-master/retinaface/calibrator.h 1.22KB
  286. tensorrtx-master/retinaface/common.hpp 6.95KB
  287. tensorrtx-master/retinaface/decode.cu 8.88KB
  288. tensorrtx-master/retinaface/decode.h 4.08KB
  289. tensorrtx-master/retinaface/logging.h 16.2KB
  290. tensorrtx-master/retinaface/macros.h 211B
  291. tensorrtx-master/retinaface/retina_mnet.cpp 18.5KB
  292. tensorrtx-master/retinaface/retina_r50.cpp 19.41KB
  293. tensorrtx-master/retinaface/retinaface_trt.py 11.85KB
  294. tensorrtx-master/retinafaceAntiCov/
  295. tensorrtx-master/retinafaceAntiCov/CMakeLists.txt 1.43KB
  296. tensorrtx-master/retinafaceAntiCov/README.md 1.55KB
  297. tensorrtx-master/retinafaceAntiCov/decode.cu 7.68KB
  298. tensorrtx-master/retinafaceAntiCov/decode.h 4.31KB
  299. tensorrtx-master/retinafaceAntiCov/gen_wts.py 736B
  300. tensorrtx-master/retinafaceAntiCov/logging.h 16.19KB
  301. tensorrtx-master/retinafaceAntiCov/macros.h 210B
  302. tensorrtx-master/retinafaceAntiCov/retinafaceAntiCov.cpp 26.63KB
  303. tensorrtx-master/scaled-yolov4/
  304. tensorrtx-master/scaled-yolov4/CMakeLists.txt 1.11KB
  305. tensorrtx-master/scaled-yolov4/README.md 2.07KB
  306. tensorrtx-master/scaled-yolov4/common.hpp 6.89KB
  307. tensorrtx-master/scaled-yolov4/gen_wts.py 731B
  308. tensorrtx-master/scaled-yolov4/logging.h 16.26KB
  309. tensorrtx-master/scaled-yolov4/mish.cu 5.62KB
  310. tensorrtx-master/scaled-yolov4/mish.h 3.48KB
  311. tensorrtx-master/scaled-yolov4/utils.h 1.15KB
  312. tensorrtx-master/scaled-yolov4/yololayer.cu 9.25KB
  313. tensorrtx-master/scaled-yolov4/yololayer.h 4.55KB
  314. tensorrtx-master/scaled-yolov4/yolov4_csp.cpp 26.72KB
  315. tensorrtx-master/senet/
  316. tensorrtx-master/senet/CMakeLists.txt 697B
  317. tensorrtx-master/senet/README.md 878B
  318. tensorrtx-master/senet/logging.h 16.16KB
  319. tensorrtx-master/senet/se_resnet50.cpp 14.39KB
  320. tensorrtx-master/shufflenetv2/
  321. tensorrtx-master/shufflenetv2/CMakeLists.txt 707B
  322. tensorrtx-master/shufflenetv2/README.md 1.21KB
  323. tensorrtx-master/shufflenetv2/logging.h 16.16KB
  324. tensorrtx-master/shufflenetv2/shufflenet_v2.cpp 15.5KB
  325. tensorrtx-master/squeezenet/
  326. tensorrtx-master/squeezenet/CMakeLists.txt 704B
  327. tensorrtx-master/squeezenet/README.md 880B
  328. tensorrtx-master/squeezenet/logging.h 16.16KB
  329. tensorrtx-master/squeezenet/squeezenet.cpp 10.9KB
  330. tensorrtx-master/superpoint/
  331. tensorrtx-master/superpoint/CMakeLists.txt 989B
  332. tensorrtx-master/superpoint/README.md 2.57KB
  333. tensorrtx-master/superpoint/gen_wts.py 505B
  334. tensorrtx-master/superpoint/logging.h 16.57KB
  335. tensorrtx-master/superpoint/supernet.cpp 7.95KB
  336. tensorrtx-master/superpoint/utils.cpp 2.52KB
  337. tensorrtx-master/superpoint/utils.h 982B
  338. tensorrtx-master/swin-transformer/
  339. tensorrtx-master/swin-transformer/semantic-segmentation/
  340. tensorrtx-master/swin-transformer/semantic-segmentation/CMakeLists.txt 3.06KB
  341. tensorrtx-master/swin-transformer/semantic-segmentation/README.md 1.35KB
  342. tensorrtx-master/swin-transformer/semantic-segmentation/UpsampleKernel.cu 4.89KB
  343. tensorrtx-master/swin-transformer/semantic-segmentation/UpsamplePlugin.cpp 6.55KB
  344. tensorrtx-master/swin-transformer/semantic-segmentation/UpsamplePlugin.h 2.46KB
  345. tensorrtx-master/swin-transformer/semantic-segmentation/UpsmapleKernel.h 333B
  346. tensorrtx-master/swin-transformer/semantic-segmentation/common.hpp 34.86KB
  347. tensorrtx-master/swin-transformer/semantic-segmentation/fillmask.cu 5.13KB
  348. tensorrtx-master/swin-transformer/semantic-segmentation/fillmask.h 3.47KB
  349. tensorrtx-master/swin-transformer/semantic-segmentation/gelu.cu 4.99KB
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资源介绍:

tensorrt yolo系列 转trt模型plugin
# TensorRTx TensorRTx aims to implement popular deep learning networks with TensorRT network definition API. Why don't we use a parser (ONNX parser, UFF parser, caffe parser, etc), but use complex APIs to build a network from scratch? I have summarized the advantages in the following aspects. - **Flexible**, easy to modify the network, add/delete a layer or input/output tensor, replace a layer, merge layers, integrate preprocessing and postprocessing into network, etc. - **Debuggable**, construct the entire network in an incremental development manner, easy to get middle layer results. - **Educational**, learn about the network structure during this development, rather than treating everything as a black box. The basic workflow of TensorRTx is: 1. Get the trained models from pytorch, mxnet or tensorflow, etc. Some pytorch models can be found in my repo [pytorchx](https://github.com/wang-xinyu/pytorchx), the remaining are from popular open-source repos. 2. Export the weights to a plain text file -- [.wts file](./tutorials/getting_started.md#the-wts-content-format). 3. Load weights in TensorRT, define the network, build a TensorRT engine. 4. Load the TensorRT engine and run inference. ## News - `21 Jun 2024`. [WuxinrongY](https://github.com/WuxinrongY): YOLOv9-T, YOLOv9-S, YOLOv9-M - `28 Apr 2024`. [lindsayshuo](https://github.com/lindsayshuo): YOLOv8-pose - `22 Apr 2024`. [B1SH0PP](https://github.com/B1SH0PP): EfficientAd: Accurate Visual Anomaly Detection at Millisecond-Level Latencies. - `18 Apr 2024`. [lindsayshuo](https://github.com/lindsayshuo): YOLOv8-p2 - `12 Mar 2024`. [lindsayshuo](https://github.com/lindsayshuo): YOLOv8-cls - `11 Mar 2024`. [WuxinrongY](https://github.com/WuxinrongY): YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information - `7 Mar 2024`. [AadeIT](https://github.com/AadeIT): CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes - `17 Oct 2023`. [Rex-LK](https://github.com/Rex-LK): YOLOv8-Seg - `30 Jun 2023`. [xiaocao-tian](https://github.com/xiaocao-tian) and [lindsayshuo](https://github.com/lindsayshuo): YOLOv8 - `1 Mar 2023`. [Nengwp](https://github.com/nengwp): [RCNN](./rcnn) and [UNet](./unet) upgrade to support TensorRT 8. - `18 Dec 2022`. [YOLOv5](./yolov5) upgrade to support v7.0, including instance segmentation. - `12 Dec 2022`. [East-Face](https://github.com/East-Face): [UNet](./unet) upgrade to support v3.0 of [Pytorch-UNet](https://github.com/milesial/Pytorch-UNet). - `26 Oct 2022`. [ausk](https://github.com/ausk): YoloP(You Only Look Once for Panopitic Driving Perception). - `19 Sep 2022`. [QIANXUNZDL123](https://github.com/QIANXUNZDL123) and [lindsayshuo](https://github.com/lindsayshuo): YOLOv7. - `7 Sep 2022`. [xiang-wuu](https://github.com/xiang-wuu): YOLOv5 v6.2 classification models. ## Tutorials - [How to make contribution](./tutorials/contribution.md) - [Install the dependencies.](./tutorials/install.md) - [A guide for quickly getting started, taking lenet5 as a demo.](./tutorials/getting_started.md) - [The .wts file content format](./tutorials/getting_started.md#the-wts-content-format) - [Frequently Asked Questions (FAQ)](./tutorials/faq.md) - [Migrating from TensorRT 4 to 7](./tutorials/migrating_from_tensorrt_4_to_7.md) - [How to implement multi-GPU processing, taking YOLOv4 as example](./tutorials/multi_GPU_processing.md) - [Check if Your GPU support FP16/INT8](./tutorials/check_fp16_int8_support.md) - [How to Compile and Run on Windows](./tutorials/run_on_windows.md) - [Deploy YOLOv4 with Triton Inference Server](https://github.com/isarsoft/yolov4-triton-tensorrt) - [From pytorch to trt step by step, hrnet as example(Chinese)](./tutorials/from_pytorch_to_trt_stepbystep_hrnet.md) ## Test Environment 1. TensorRT 7.x 2. TensorRT 8.x(Some of the models support 8.x) ## How to run Each folder has a readme inside, which explains how to run the models inside. ## Models Following models are implemented. |Name | Description | |-|-| |[mlp](./mlp) | the very basic model for starters, properly documented | |[lenet](./lenet) | the simplest, as a "hello world" of this project | |[alexnet](./alexnet)| easy to implement, all layers are supported in tensorrt | |[googlenet](./googlenet)| GoogLeNet (Inception v1) | |[inception](./inception)| Inception v3, v4 | |[mnasnet](./mnasnet)| MNASNet with depth multiplier of 0.5 from the paper | |[mobilenet](./mobilenet)| MobileNet v2, v3-small, v3-large | |[resnet](./resnet)| resnet-18, resnet-50 and resnext50-32x4d are implemented | |[senet](./senet)| se-resnet50 | |[shufflenet](./shufflenetv2)| ShuffleNet v2 with 0.5x output channels | |[squeezenet](./squeezenet)| SqueezeNet 1.1 model | |[vgg](./vgg)| VGG 11-layer model | |[yolov3-tiny](./yolov3-tiny)| weights and pytorch implementation from [ultralytics/yolov3](https://github.com/ultralytics/yolov3) | |[yolov3](./yolov3)| darknet-53, weights and pytorch implementation from [ultralytics/yolov3](https://github.com/ultralytics/yolov3) | |[yolov3-spp](./yolov3-spp)| darknet-53, weights and pytorch implementation from [ultralytics/yolov3](https://github.com/ultralytics/yolov3) | |[yolov4](./yolov4)| CSPDarknet53, weights from [AlexeyAB/darknet](https://github.com/AlexeyAB/darknet#pre-trained-models), pytorch implementation from [ultralytics/yolov3](https://github.com/ultralytics/yolov3) | |[yolov5](./yolov5)| yolov5 v1.0-v7.0 of [ultralytics/yolov5](https://github.com/ultralytics/yolov5), detection, classification and instance segmentation | |[yolov7](./yolov7)| yolov7 v0.1, pytorch implementation from [WongKinYiu/yolov7](https://github.com/WongKinYiu/yolov7) | |[yolov8](./yolov8)| yolov8, pytorch implementation from [ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) | |[yolov9](./yolov9)| The Pytorch implementation is [WongKinYiu/yolov9](https://github.com/WongKinYiu/yolov9). | |[yolop](./yolop)| yolop, pytorch implementation from [hustvl/YOLOP](https://github.com/hustvl/YOLOP) | |[retinaface](./retinaface)| resnet50 and mobilnet0.25, weights from [biubug6/Pytorch_Retinaface](https://github.com/biubug6/Pytorch_Retinaface) | |[arcface](./arcface)| LResNet50E-IR, LResNet100E-IR and MobileFaceNet, weights from [deepinsight/insightface](https://github.com/deepinsight/insightface) | |[retinafaceAntiCov](./retinafaceAntiCov)| mobilenet0.25, weights from [deepinsight/insightface](https://github.com/deepinsight/insightface), retinaface anti-COVID-19, detect face and mask attribute | |[dbnet](./dbnet)| Scene Text Detection, weights from [BaofengZan/DBNet.pytorch](https://github.com/BaofengZan/DBNet.pytorch) | |[crnn](./crnn)| pytorch implementation from [meijieru/crnn.pytorch](https://github.com/meijieru/crnn.pytorch) | |[ufld](./ufld)| pytorch implementation from [Ultra-Fast-Lane-Detection](https://github.com/cfzd/Ultra-Fast-Lane-Detection), ECCV2020 | |[hrnet](./hrnet)| hrnet-image-classification and hrnet-semantic-segmentation, pytorch implementation from [HRNet-Image-Classification](https://github.com/HRNet/HRNet-Image-Classification) and [HRNet-Semantic-Segmentation](https://github.com/HRNet/HRNet-Semantic-Segmentation) | |[psenet](./psenet)| PSENet Text Detection, tensorflow implementation from [liuheng92/tensorflow_PSENet](https://github.com/liuheng92/tensorflow_PSENet) | |[ibnnet](./ibnnet)| IBN-Net, pytorch implementation from [XingangPan/IBN-Net](https://github.com/XingangPan/IBN-Net), ECCV2018 | |[unet](./unet)| U-Net, pytorch implementation from [milesial/Pytorch-UNet](https://github.com/milesial/Pytorch-UNet) | |[repvgg](./repvgg)| RepVGG, pytorch implementation from [DingXiaoH/RepVGG](https://github.com/DingXiaoH/RepVGG) | |[lprnet](./lprnet)| LPRNet, pytorch implementation from [xuexingyu24/License_Plate_Detection_Pytorch](https://github.com/xuexingyu24/License_Plate_Detection_Pytorch) | |[refinedet](./refinedet)| RefineDet, pytorch implementation from [luuuyi/RefineDet.PyTorch](https://github.com/luuuyi/RefineDet.PyTorch) | |[den
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