We propose OmniNOCS, a large-scale monocular dataset with 3D Normalized Object Coordinate Space (NOCS) maps, object masks, and 3D bounding box annotations for indoor and outdoor scenes. OmniNOCS has 20 times more object classes and 200 times more instances than existing NOCS datasets (NOCS-...
We also present areal-world datasetfor training and testing with 18 different scenes and ground truth 6D pose and size annotations for 6 object categories, and in total 42 unique instances. 一个空间上下文感知的混合现实技术,在真实的图像中合成对象,允许生成一个大的带注释的数据集来训练CNN。 一个为...
logging.exception("Error processing image {}".format(dataset.image_info[draw_source_ids])) TypeError: only integer scalar arrays can be converted to a scalar index """ The above exception was the direct cause of the following exception: ...
obj_name in enumerate(synset_names): + if i == 0: ## class 0 is bg class + continue + self.add_class("ShapeNetTOI", i, obj_name) ## class id starts with 1 + + def load_scenes(self, dataset_dir, if_calculate_mean=False): + """Load a subset of the ShapeNetScene dataset....
The proposed framework is learned with the training dataset supplied by the BookSim simulator. Rigorous experiments are performed to measure multiple performance metrics at varying experimental setups. The results show that network latency is in the range of 31.74–80.70 cycles. Further, the switch ...
To complete the feasibility study, a large number of parallel measurements were used to create a dataset from ENM experiments, which was used to train an ANN. The application of the evolved neural model on samples having an unknown level of corrosive degradation showed promising results. For the...