Poooli L1 L2 Mini Phone Portable Inkless Sticker Thermal Printer for iOS Android. Print sticky photos, labels, and notes. Perfect for journaling and organization.| Alibaba.com
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Generate a train and test lists (.csv) of your dataset (an example is in the "dataset" folder). Change the label class and colormap in the "utils.py" file. Add your dataset_config in the "train.py" and "test.py" files. Run the command above by changing the dataset name. The Ch...
title FROM labels L1 WHERE (SELECT COUNT(*) FROM labels L2 WHERE L1.project_id=L2.project_id AND L1.title=L2.title)>1; (and similar for group_id). However, if I run EXPLAIN for the above, I get a table scan and a filter): QUERY PLAN --- Seq Scan on labels l1 (cost=0.00...
the various criteria in the filter may include ranges and/or non-contiguous lists of values which effectively allow for a second level of OR-ing within the filters. In addition, other logic, such as NOT operations, and/or more complicated logic expressions such as source/destination pairs and...
# reformat resolutions to lists atlas_res = utils.reformat_to_list(atlas_res) n_dims = len(atlas_res) target_res = utils.reformat_to_list(target_res) # get resampling factor if atlas_res != target_res: resample_factor = [atlas_res[i] / float(target_res[i]) for i in range(n_di...
Despite the availability of a large amount of free unlabeled data, collecting sufficient training data for supervised learning models is challenging due to the time and cost involved in the labeling process. The active learning technique we present here
The steps of the proposed model are illustrated in Algorithm 1, and Table 1 lists the notation and their descriptions used in this paper. Algorithm 1 Annotate a set of unlabeled points. DL = LQBAL (DU, Q). Input: Unlabeled data (DU = {x1, . . . , xnu }) and Q Output: Labeled...
Generate a train and test lists (.csv) of your dataset (an example is in the "dataset" folder). Change the label class and colormap in the "utils.py" file. Add your dataset_config in the "train.py" and "test.py" files. Run the command above by changing the dataset name....