Closed sove45 closed 1 week ago
经过完整的训练之后,采用最终的.pth文件了来进行测试,但是最终的输出仍然为空集
测试采用的cfg文件为 BASE: "Base-CenterNet.yaml" MODEL: META_ARCHITECTURE: "BYTERCNN" CENTERNET: USE_DEFORMABLE: True NMS_TH_TEST: 0.6 ROI_HEADS: NAME: GRiTROIHeads PROPOSAL_APPEND_GT: False NO_BOX_HEAD: True WEIGHTS: '/15342518312/MOT/output/SMOTer/BYTE_BENSMOT_FPN/model_final.pth' ASSO_ON: True ASSO_HEAD: NEG_UNMATCHED: True ASSO_THRESH: 0.3 ASSO_THRESH_TEST: 0.55 ASSO_WEIGHT: 1.0 NUM_WEIGHT_LAYERS: 0 NO_POS_EMB: True SOLVER: USE_CUSTOM_SOLVER: True MAX_ITER: 70000 LR_SCHEDULER_NAME: "WarmupCosineLR" BASE_LR: 0.00005 OPTIMIZER: ADAMW IMS_PER_BATCH: 4 CLIP_GRADIENTS: ENABLED: True CLIP_TYPE: "full_model" CLIP_VALUE: 0.1 NORM_TYPE: 2.0 BACKBONE_MULTIPLIER: 0.1
INPUT: FORMAT: RGB CUSTOM_AUG: EfficientDetResizeCrop TRAIN_SIZE: 1280 NOT_CLAMP_BOX: True TEST_INPUT_TYPE: square TEST_SIZE: 1560 VIDEO: TRAIN_LEN: 100 TEST_LEN: 100 VIDEO_INPUT: True VIDEO_TEST: MAX_CENTER_DIST: 1.0 OVERLAP_THRESH: 0.2 DECAY_TIME: 0.9 WITH_IOU: True NOT_MULT_THRESH: True DATASETS:
TRAIN: ("bensmot_train",) TEST: ("bensmot_val",) FIND_UNUSED_PARAM: True DATALOADER: SAMPLER_TRAIN: "MultiDatasetSampler" SOURCE_AWARE: True DATASET_RATIO: [1]
同样的问题，就在Issue#5中进行讨论吧
Nathan-Li123
commented
2 weeks ago Nathan-Li123
commented
2 weeks ago
测试采用的cfg文件为 BASE: "Base-CenterNet.yaml" MODEL: META_ARCHITECTURE: "BYTERCNN" CENTERNET: USE_DEFORMABLE: True NMS_TH_TEST: 0.6 ROI_HEADS: NAME: GRiTROIHeads PROPOSAL_APPEND_GT: False NO_BOX_HEAD: True WEIGHTS: '/15342518312/MOT/output/SMOTer/BYTE_BENSMOT_FPN/model_final.pth' ASSO_ON: True ASSO_HEAD: NEG_UNMATCHED: True ASSO_THRESH: 0.3 ASSO_THRESH_TEST: 0.55 ASSO_WEIGHT: 1.0 NUM_WEIGHT_LAYERS: 0 NO_POS_EMB: True SOLVER: USE_CUSTOM_SOLVER: True MAX_ITER: 70000 LR_SCHEDULER_NAME: "WarmupCosineLR" BASE_LR: 0.00005 OPTIMIZER: ADAMW IMS_PER_BATCH: 4 CLIP_GRADIENTS: ENABLED: True CLIP_TYPE: "full_model" CLIP_VALUE: 0.1 NORM_TYPE: 2.0 BACKBONE_MULTIPLIER: 0.1
CUSTOM_MULTIPLIER: 2.0
CUSTOM_MULTIPLIER_NAME: ["summary_text_decoder", "classifier"]
INPUT: FORMAT: RGB CUSTOM_AUG: EfficientDetResizeCrop TRAIN_SIZE: 1280 NOT_CLAMP_BOX: True TEST_INPUT_TYPE: square TEST_SIZE: 1560 VIDEO: TRAIN_LEN: 100 TEST_LEN: 100 VIDEO_INPUT: True VIDEO_TEST: MAX_CENTER_DIST: 1.0 OVERLAP_THRESH: 0.2 DECAY_TIME: 0.9 WITH_IOU: True NOT_MULT_THRESH: True DATASETS:
TRAIN: ("mot17_halftrain","crowdhuman_train")
TRAIN: ("bensmot_train",) TEST: ("bensmot_val",) FIND_UNUSED_PARAM: True DATALOADER: SAMPLER_TRAIN: "MultiDatasetSampler" SOURCE_AWARE: True DATASET_RATIO: [1]