Remove detection demo

demo/detection/yolov3_darknet53_pascalvoc/predict.py

-import paddle
-import paddlehub as hub
-
-if __name__ == '__main__':
-    place = paddle.CUDAPlace(0)
-    paddle.disable_static()
-    model = hub.Module(name='yolov3_darknet53_pascalvoc', is_train=False)
-    model.eval()
-    model.predict(imgpath="4026.jpeg", filelist="/PATH/TO/JSON")

demo/detection/yolov3_darknet53_pascalvoc/train.py

-import paddle
-import paddlehub as hub
-import paddle.nn as nn
-from paddlehub.finetune.trainer import Trainer
-from paddlehub.datasets.pascalvoc import DetectionData
-import paddlehub.process.detect_transforms as T
-if __name__ == "__main__":
-    paddle.disable_static()
-
-    transform = T.Compose([
-        T.RandomDistort(),
-        T.RandomExpand(fill=[0.485, 0.456, 0.406]),
-        T.RandomCrop(),
-        T.Resize(target_size=416),
-        T.RandomFlip(),
-        T.ShuffleBox(),
-        T.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
-    ])
-
-    train_reader = DetectionData(transform)
-    model = hub.Module(name='yolov3_darknet53_pascalvoc')
-    optimizer = paddle.optimizer.Adam(learning_rate=0.0001, parameters=model.parameters())
-    trainer = Trainer(model, optimizer, checkpoint_dir='test_ckpt_img_det')
-    trainer.train(train_reader, epochs=5, batch_size=4, eval_dataset=train_reader, log_interval=1, save_interval=1)