Typo fixes

Summary:
Change depoyment to deployment in README.md.
Change datasest to datasets in tools/exporter.py.

Pull Request resolved: https://github.com/facebookresearch/d2go/pull/7

Reviewed By: newstzpz

Differential Revision: D26821039

Pulled By: zhanghang1989

fbshipit-source-id: 5056d15c877c4b3d771d33267139e73f1527da21

README.md

@@ -6,7 +6,7 @@ D2Go is a production ready software system from FacebookResearch, which supports
 
 - It is a deep learning toolkit powered by [PyTorch](https://pytorch.org/) and [Detectron2](https://github.com/facebookresearch/detectron2).
 - State-of-the-art efficient backbone networks for mobile devices.
-- End-to-end model training, quantization and depoyment pipeline.
+- End-to-end model training, quantization and deployment pipeline.
 - Easy export to TorchScript format for deployment.
 
 ## Installation

tools/exporter.py

@@ -43,8 +43,8 @@ def main(
     # NOTE: train dataset is used to avoid leakage since the data might be used for
     # running calibration for quantization. test_loader is used to make sure it follows
     # the inference behaviour (augmentation will not be applied).
-    datasest = cfg.DATASETS.TRAIN[0]
-    data_loader = runner.build_detection_test_loader(cfg, datasest)
+    datasets = cfg.DATASETS.TRAIN[0]
+    data_loader = runner.build_detection_test_loader(cfg, datasets)
 
     logger.info("Running the pytorch model and print FLOPS ...")
     first_batch = next(iter(data_loader))