classDefaultTrainer(SimpleTrainer):model=self.build_model(cfg)--->##/detectron2/engine/defaults.py defbuild_model(cls,cfg):model=build_model(cfg)--->##detectron2/modeling/meta_arch/build.py defbuild_model(cfg):meta_arch=cfg.MODEL.META_ARCHITECTUREreturnMETA_ARCH_REGISTRY.get(meta_arch)(cfg...
def build_optimizer(model, cfg): optimizer_cfg = copy.deepcopy(cfg) constructor_type = optimizer_cfg.pop('constructor', #optimizer_cfg字典中无"constructor"这个键,则返回DefaultOptimizerConstructor 'DefaultOptimizerConstructor') paramwise_cfg = optimizer_cfg.pop('paramwise_cfg', None) # 同上 optim...
-enable-multiarch --enable-nls --without-included-gettext --enable-clocale=gnu --enable-lto --enable-linker-build-id --enable-gnu-unique-object --enable-libstdcxx-debug --enable-libstdcxx-time=yes Thread model: posix Supported LTO compression algorithms: zlib zstd gcc version 12.2.0 (GCC)...
com.android.library 是只能作为代码依附在别的应用程序模块来运行。所以在引入一些Model为自己的应用程序所用时,build.gradle文件的第一行就是apply plugin:'com.android.library'。 4)android闭包: compileSdkVersion:用于指定项目的编译版本。 buildToolsVersion:用于指定项目的构建工具的版本。 applicationId:用于指定项...
MODEL.LOAD_PROPOSALS else None, ) dataset = DatasetFromList(dataset_dicts, copy=False) 2)对图像做map操作,转换成模型内部调用支持的格式。 代码语言:javascript 代码运行次数:0 运行 AI代码解释 if mapper is None: mapper = DatasetMapper(cfg, True) dataset = MapDataset(dataset, mapper) 其中,Dataset...
[hooks.EvalHook(0, lambda: trainer.test_with_TTA(cfg, trainer.model))] ) return trainer.train() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. build_*方法 我们从trainer = Trainer(cfg)开始进一步了解。 Detectron2代码阅读笔记-(一)[2]中已经提到过一连串的Trainer的继承关系如下:tools.tra...
Dear NXP, I get below error while implementing pmsm model file on MCSPTE1AK344 Kit. The error shows mcat_src_files are not there. When I checked the
Error: Tag_Memory_Model attribute value of "1" that is different than one previously seen ("2"); combining incompatible files This means that the build is combining files with different memory models (small, large, huge) which the linker does not allow. ...
modeling.models import build_model @TRAINER_REGISTRY.register() @@ -44,7 +44,7 @@ def build_model(self): self.register_model('D', self.D, self.optim_D, self.sched_D) print('Building G') self.G = build_model(cfg.TRAINER.DDAIG.G_ARCH, verbose=cfg.VERBOSE) self.G = build_...
git commit -m "First model version" git push 步骤3:围绕意图的数据工程与模型演进 Unit Eval 是一个针对于构建高质量代码微调的开源工具箱。其三个核心设计原则: 统一提示词(Prompt)。统一工具-微调-评估底层的提示词。 代码质量管道。诸如于代码复杂性、代码坏味道、测试坏味道、API 设计味道等。 可扩展的...