In FasterRCNN, in_channel of TwoFCHead should be determined according to out_shape of neck

dygraph/faster_rcnn_r50_fpn.py

@@ -0,0 +1,58 @@
+import paddlex as pdx
+from paddlex import transforms as T
+
+# 下载和解压昆虫检测数据集
+dataset = 'https://bj.bcebos.com/paddlex/datasets/insect_det.tar.gz'
+pdx.utils.download_and_decompress(dataset, path='./')
+
+# 定义训练和验证时的transforms
+# API说明：https://github.com/PaddlePaddle/PaddleX/blob/release/2.0-rc/paddlex/cv/transforms/operators.py
+train_transforms = T.Compose([
+    T.RandomResizeByShort(
+        short_sizes=[640, 672, 704, 736, 768, 800],
+        max_size=1333,
+        interp='CUBIC'), T.RandomHorizontalFlip(), T.Normalize(
+            mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
+])
+
+eval_transforms = T.Compose([
+    T.ResizeByShort(
+        short_size=800, max_size=1333, interp='CUBIC'), T.Normalize(
+            mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
+])
+
+# 定义训练和验证所用的数据集
+# API说明：https://github.com/PaddlePaddle/PaddleX/blob/release/2.0-rc/paddlex/cv/datasets/voc.py#L29
+train_dataset = pdx.datasets.VOCDetection(
+    data_dir='insect_det',
+    file_list='insect_det/train_list.txt',
+    label_list='insect_det/labels.txt',
+    transforms=train_transforms,
+    shuffle=True)
+
+eval_dataset = pdx.datasets.VOCDetection(
+    data_dir='insect_det',
+    file_list='insect_det/val_list.txt',
+    label_list='insect_det/labels.txt',
+    transforms=eval_transforms,
+    shuffle=False)
+
+# 初始化模型，并进行训练
+# 可使用VisualDL查看训练指标，参考https://github.com/PaddlePaddle/PaddleX/tree/release/2.0-rc/tutorials/train#visualdl可视化训练指标
+num_classes = len(train_dataset.labels)
+model = pdx.models.FasterRCNN(
+    num_classes=num_classes, backbone='ResNet50', with_fpn=True)
+
+# API说明：https://github.com/PaddlePaddle/PaddleX/blob/release/2.0-rc/paddlex/cv/models/detector.py#L155
+# 各参数介绍与调整说明：https://paddlex.readthedocs.io/zh_CN/develop/appendix/parameters.html
+model.train(
+    num_epochs=12,
+    train_dataset=train_dataset,
+    train_batch_size=2,
+    eval_dataset=eval_dataset,
+    learning_rate=0.0025,
+    lr_decay_epochs=[8, 11],
+    warmup_steps=500,
+    warmup_start_lr=0.00025,
+    save_dir='output/faster_rcnn_r50_fpn',
+    use_vdl=True)

dygraph/paddlex/cv/datasets/voc.py

@@ -14,7 +14,6 @@
 
 from __future__ import absolute_import
 import copy
-import os
 import os.path as osp
 import random
 import re

dygraph/paddlex/cv/models/detector.py

@@ -848,7 +848,8 @@ class FasterRCNN(BaseDetector):
                 if test_pre_nms_top_n is None else test_pre_nms_top_n,
                 'post_nms_top_n': test_post_nms_top_n
             }
-            head = ppdet.modeling.TwoFCHead(out_channel=1024)
+            head = ppdet.modeling.TwoFCHead(
+                in_channel=neck.out_shape[0].channels, out_channel=1024)
             roi_extractor_cfg = {
                 'resolution': 7,
                 'spatial_scale': [1. / i.stride for i in neck.out_shape],