Great work! How can I evaluate the pretrained or trained model in the LVIS (CC3M) dataset? For example, in the configuration file "VLDet_LbaseCCcap_CLIP_R5021k_640b64_2x_ft4x_caption.yaml", it contains the attributes DATASETS: TRAIN: ("lvis_v1_train_norare", "cc3m_v1_nouns_train _6250tags"). There is no division corresponding to TEST in it, is this correct? Can this correctly evaluate the model trained by LVIS? Thanks!
Great work! How can I evaluate the pretrained or trained model in the LVIS (CC3M) dataset? For example, in the configuration file "VLDet_LbaseCCcap_CLIP_R5021k_640b64_2x_ft4x_caption.yaml", it contains the attributes DATASETS: TRAIN: ("lvis_v1_train_norare", "cc3m_v1_nouns_train _6250tags"). There is no division corresponding to TEST in it, is this correct? Can this correctly evaluate the model trained by LVIS? Thanks!