def download_data(self): # 根据数据ID下载训练数据 data_helper = DataHelper() data_helper.download_from_ids("FacialBeautyPrediction")
def download_data(self): # 根据数据ID下载训练数据 data_helper = DataHelper() data_helper.download_from_ids("ArrhythmiaClassification")
def download_data(self): # 根据数据ID下载训练数据 data_helper = DataHelper() data_helper.download_from_ids("ButterflyClassification")
def download_data(self): # 下载数据 data_helper = DataHelper() # 数据下载解压路径:./data/input/MedicalQA data_helper.download_from_ids("MedicalQA") print('==' * 8 + '数据下载完成!' + '==' * 8)
if not os.path.exists(MODEL_PATH): os.makedirs(MODEL_PATH) model_path = os.path.join(MODEL_PATH, 'my_model.h5') parser = argparse.ArgumentParser() parser.add_argument("-e", "--EPOCHS", default=10, type=int, help="train epochs") parser.add_argument("-b", "--BATCH", default=5, type=int, help="batch size") args = parser.parse_args() # 下载数据 data_helper = DataHelper() data_helper.download_from_ids( "FaceLandmarkLocalization") # ./data/input/PostRecommendation # 读取数据 df = pd.read_csv(os.path.join(DATA_PATH, 'FaceLandmarkLocalization/train.csv')) df['label'] = df['label'].apply(eval) # 转成dict类型 image_path_list = df['image_path'].values label_list = df['label'].values # ################################## 下面提供一种数据处理的方法 ################################### class Main(FlyAI): def get_line(self, array, label, name):
def download_data(self): # 下载数据 data_helper = DataHelper() data_helper.download_from_ids("MedicalClass") print('=*=数据下载完成=*=')
def download_data(self): # 根据数据ID下载训练数据 data_helper = DataHelper() data_helper.download_from_ids("TBDetection") print('download data done...')
def download_data(self): # 根据数据ID下载训练数据 data_helper = DataHelper() data_helper.download_from_ids("PsychologicalQA")
def download_data(self): # 根据数据ID下载训练数据 data_helper = DataHelper() data_helper.download_from_ids(DataID)
def download_data(self): # 根据数据ID下载训练数据 data_helper = DataHelper() data_helper.download_from_ids("CardDetection")
def download_data(self): data_helper = DataHelper() data_helper.download_from_ids(DataID)