diff --git a/predict.py b/predict.py index 8dc946d..07c3671 100755 --- a/predict.py +++ b/predict.py @@ -17,7 +17,9 @@ def parse_args(): parser.add_argument('--split', type=str, default='overlap', help="Split method") # non-overlap parser.add_argument('--slide_step', type=int, default=2, help="Slide step for overlap split") parser.add_argument('--smoothing_value', type=float, default=0.0, help="Label smoothing value\n") - parser.add_argument("--pretrained_model", type=str, default="./output/ieemooempty_vit_checkpoint.pth", help="load pretrained model") + #parser.add_argument("--pretrained_model", type=str, default="output/ieemooempty_checkpoint_good.pth", help="load pretrained model") + parser.add_argument("--pretrained_model", type=str, default="../module/ieemoo-ai-isempty/model/now/emptyjudge5_checkpoint.bin", help="load pretrained model") + #parser.add_argument("--pretrained_model", type=str, default="output/ieemooempty_vitgood_checkpoint.pth", help="load pretrained model") return parser.parse_args() @@ -41,7 +43,7 @@ class Predictor(object): config.split = self.args.split config.slide_step = self.args.slide_step self.num_classes = 5 - self.cls_dict = {0: "noemp", 1: "yesemp"} + self.cls_dict = {0: "noemp", 1: "yesemp", 2: "hard", 3: "fly", 4: "stack"} self.model = VisionTransformer(config, self.args.img_size, zero_head=True, num_classes=self.num_classes, smoothing_value=self.args.smoothing_value) @@ -79,15 +81,10 @@ if __name__ == "__main__": y_true = [] y_pred = [] - #test_dir = "./emptyJudge5/images/" + # test_dir = "./emptyJudge5/images/" # dir_dict = {"noemp":"0", "yesemp":"1", "hard": "2", "fly": "3", "stack": "4"} - - # test_dir = "../emptyJudge2/images" - # dir_dict = {"noempty":"0", "empty":"1"} - - test_dir = "../emptyJudge5/images" - dir_dict = {"noemp":"0", "yesemp":"1"} - + test_dir = "../emptyJudge2/images" + dir_dict = {"noempty":"0", "empty":"1"} total = 0 num = 0 t0 = time.time()