There is a problem that mAP is always calculated as 0.0. about building-detection-maskrcnn HOT 2 CLOSED

I've solved a lot of problems, but there's still a detection problem. I applied the weight file you sent me, but my model does not detect the building properly. Also, the mAP is still 0.0.
I attach the file I turned (ipynb format) in .txt
Help me plz :(
![wtf](https://user-images.githubusercontent.com/65344591/142000680-908e111e-1632-4306-bd0d-050ebbdd3c66.png
Training.txt
)

from building-detection-maskrcnn.

I ran the SpaceNet_train.py file using the weights file you provided. (The learning step is omitted.) However, unlike the code, random images are not displayed, and mAP is always calculated as 0.0. Actually, I'm a beginner who just studied deep learning, so I can't figure out which part is wrong. I am attaching the file(convert txt to py) I ran, so please tell me where the problem is. Thank you always.

Configurations: BACKBONE resnet50 BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] COMPUTE_BACKBONE_SHAPE None DETECTION_MAX_INSTANCES 350 DETECTION_MIN_CONFIDENCE 0.7 DETECTION_NMS_THRESHOLD 0.3 FPN_CLASSIF_FC_LAYERS_SIZE 1024 GPU_COUNT 1 GRADIENT_CLIP_NORM 5.0 IMAGES_PER_GPU 1 IMAGE_CHANNEL_COUNT 3 IMAGE_MAX_DIM 640 IMAGE_META_SIZE 14 IMAGE_MIN_DIM 640 IMAGE_MIN_SCALE 0 IMAGE_RESIZE_MODE square IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 250 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME SpaceNet NUM_CLASSES 2 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 PRE_NMS_LIMIT 6000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.25, 1, 4] RPN_ANCHOR_SCALES (8, 16, 32, 64, 128) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 500 TOP_DOWN_PYRAMID_SIZE 256 TRAIN_BN False TRAIN_ROIS_PER_IMAGE 32 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001

1165 C:\Users\Seo\anaconda3\envs\mrcnn\lib\site-packages\mask_rcnn-2.1-py3.6.egg\mrcnn\visualize.py:56: UserWarning:

Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.

1336 788 737 WARNING:tensorflow:From C:\Users\Seo\anaconda3\envs\mrcnn\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. WARNING:tensorflow:From C:\Users\Seo\anaconda3\envs\mrcnn\lib\site-packages\keras\backend\tensorflow_backend.py:1154: calling reduce_max_v1 (from tensorflow.python.ops.math_ops) with keep_dims is deprecate d and will be removed in a future version. Instructions for updating: keep_dims is deprecated, use keepdims instead WARNING:tensorflow:From C:\Users\Seo\anaconda3\envs\mrcnn\lib\site-packages\keras\backend\tensorflow_backend.py:1188: calling reduce_sum_v1 (from tensorflow.python.ops.math_ops) with keep_dims is deprecate d and will be removed in a future version. Instructions for updating: keep_dims is deprecated, use keepdims instead WARNING:tensorflow:From C:\Users\Seo\anaconda3\envs\mrcnn\lib\site-packages\mask_rcnn-2.1-py3.6.egg\mrcnn\model.py:772: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. Loading weights from D:\mask_rcnn_spacenet_0151.h5 2021-11-09 01:06:42.125108: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2021-11-09 01:06:42.267542: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties: name: GeForce RTX 3060 Ti major: 8 minor: 6 memoryClockRate(GHz): 1.695 pciBusID: 0000:01:00.0 totalMemory: 8.00GiB freeMemory: 6.99GiB 2021-11-09 01:06:42.268127: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0 2021-11-09 01:10:02.188573: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix: 2021-11-09 01:10:02.188862: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0 2021-11-09 01:10:02.189157: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N 2021-11-09 01:10:02.189519: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6714 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3060 Ti, pci bus id: 0000:01:00.0, compute capability: 8.6) original_image shape: (640, 640, 3) min: 6.00000 max: 250.00000 uint8 image_meta shape: (14,) min: 0.00000 max: 650.00000 float64 gt_class_id shape: (0,) min: max: int32 gt_bbox shape: (0, 4) min: max: int32 gt_mask shape: (640, 640, 0) min: max: bool

*** No instances to display ***

C:\Users\Seo\anaconda3\envs\mrcnn\lib\site-packages\mask_rcnn-2.1-py3.6.egg\mrcnn\visualize.py:167: UserWarning:

Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.

Processing 1 images image shape: (640, 640, 3) min: 6.00000 max: 250.00000 uint8 molded_images shape: (1, 640, 640, 3) min: -117.70000 max: 133.20000 float64 image_metas shape: (1, 14) min: 0.00000 max: 640.00000 int32 anchors shape: (1, 102300, 4) min: -0.20031 max: 1.10016 float32 2021-11-09 01:10:04.638200: I tensorflow/stream_executor/dso_loader.cc:152] successfully opened CUDA library cublas64_100.dll locally

*** No instances to display ***

mAP: 0. SpaceNet_train_modified.txt 0

from building-detection-maskrcnn.