From 605692e5b6ffae6537523d704e5572b76180b83c Mon Sep 17 00:00:00 2001 From: jerrywgz Date: Mon, 1 Jun 2020 10:09:21 +0000 Subject: [PATCH] refine fruit config --- configs/faster_rcnn_r50_fruit.yml | 121 ++++++++++++++++++++++++++ configs/yolov3_mobilenet_v1_fruit.yml | 2 + 2 files changed, 123 insertions(+) create mode 100644 configs/faster_rcnn_r50_fruit.yml diff --git a/configs/faster_rcnn_r50_fruit.yml b/configs/faster_rcnn_r50_fruit.yml new file mode 100644 index 000000000..cdfa41da4 --- /dev/null +++ b/configs/faster_rcnn_r50_fruit.yml @@ -0,0 +1,121 @@ +architecture: FasterRCNN +use_gpu: true +max_iters: 8000 +log_smooth_window: 20 +save_dir: output +snapshot_iter: 1000 +pretrain_weights: https://paddlemodels.bj.bcebos.com/object_detection/faster_rcnn_r50_2x.tar +metric: VOC +map_type: 11point +weights: output/faster_rcnn_r50_1x_fruit/model_final +# 3 + 1 (background) +num_classes: 4 +finetune_exclude_pretrained_params: ['bbox_pred', 'cls_score'] + +FasterRCNN: + backbone: ResNet + rpn_head: RPNHead + roi_extractor: RoIAlign + bbox_head: BBoxHead + bbox_assigner: BBoxAssigner + +ResNet: + norm_type: affine_channel + depth: 50 + feature_maps: 4 + freeze_at: 2 + +ResNetC5: + depth: 50 + norm_type: affine_channel + +RPNHead: + anchor_generator: + anchor_sizes: [32, 64, 128, 256, 512] + aspect_ratios: [0.5, 1.0, 2.0] + stride: [16.0, 16.0] + variance: [1.0, 1.0, 1.0, 1.0] + rpn_target_assign: + rpn_batch_size_per_im: 256 + rpn_fg_fraction: 0.5 + rpn_negative_overlap: 0.3 + rpn_positive_overlap: 0.7 + rpn_straddle_thresh: 0.0 + use_random: true + train_proposal: + min_size: 0.0 + nms_thresh: 0.7 + pre_nms_top_n: 12000 + post_nms_top_n: 2000 + test_proposal: + min_size: 0.0 + nms_thresh: 0.7 + pre_nms_top_n: 6000 + post_nms_top_n: 1000 + +RoIAlign: + resolution: 14 + sampling_ratio: 0 + spatial_scale: 0.0625 + +BBoxAssigner: + batch_size_per_im: 512 + bbox_reg_weights: [0.1, 0.1, 0.2, 0.2] + bg_thresh_hi: 0.5 + bg_thresh_lo: 0.0 + fg_fraction: 0.25 + fg_thresh: 0.5 + +BBoxHead: + head: ResNetC5 + nms: + keep_top_k: 100 + nms_threshold: 0.5 + score_threshold: 0.05 + +LearningRate: + base_lr: 0.00001 + schedulers: + - !PiecewiseDecay + gamma: 0.1 + milestones: [6400, 7200] + - !LinearWarmup + start_factor: 0. + steps: 100 + +OptimizerBuilder: + optimizer: + momentum: 0.9 + type: Momentum + regularizer: + factor: 0.0005 + type: L2 + +_READER_: 'faster_reader.yml' +TrainReader: + dataset: + !VOCDataSet + dataset_dir: dataset/fruit + anno_path: train.txt + with_background: true + use_default_label: false + worker_num: -1 + use_process: false + +EvalReader: + inputs_def: + fields: ['image', 'im_info', 'im_id', 'im_shape', 'gt_bbox', 'gt_class', 'is_difficult'] + dataset: + !VOCDataSet + dataset_dir: dataset/fruit + anno_path: val.txt + with_background: true + use_default_label: false + +TestReader: + batch_size: 1 + dataset: + !ImageFolder + anno_path: dataset/fruit/label_list.txt + use_default_label: false + with_background: true diff --git a/configs/yolov3_mobilenet_v1_fruit.yml b/configs/yolov3_mobilenet_v1_fruit.yml index 78f50206e..d73c080a5 100644 --- a/configs/yolov3_mobilenet_v1_fruit.yml +++ b/configs/yolov3_mobilenet_v1_fruit.yml @@ -111,6 +111,8 @@ TrainReader: batch_size: 1 shuffle: true mixup_epoch: -1 + worker_num: -1 + use_process: false EvalReader: batch_size: 1 -- GitLab