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)