add training report at 20200427

+model_checkpoint_path: "model.ckpt-50000"
+all_model_checkpoint_paths: "model.ckpt-0"
+all_model_checkpoint_paths: "model.ckpt-32700"
+all_model_checkpoint_paths: "model.ckpt-50000"

+model {
+  ssd {
+    num_classes: 1
+    image_resizer {
+      fixed_shape_resizer {
+        height: 300
+        width: 300
+      }
+    }
+    feature_extractor {
+      type: "ssd_mobilenet_v1_ppn"
+      conv_hyperparams {
+        regularizer {
+          l2_regularizer {
+            weight: 3.9999999e-05
+          }
+        }
+        initializer {
+          random_normal_initializer {
+            mean: 0.0
+            stddev: 0.0099999998
+          }
+        }
+        activation: RELU_6
+        batch_norm {
+          decay: 0.97000003
+          center: true
+          scale: true
+          epsilon: 0.001
+        }
+      }
+      override_base_feature_extractor_hyperparams: true
+    }
+    box_coder {
+      faster_rcnn_box_coder {
+        y_scale: 10.0
+        x_scale: 10.0
+        height_scale: 5.0
+        width_scale: 5.0
+      }
+    }
+    matcher {
+      argmax_matcher {
+        matched_threshold: 0.5
+        unmatched_threshold: 0.5
+        ignore_thresholds: false
+        negatives_lower_than_unmatched: true
+        force_match_for_each_row: true
+        use_matmul_gather: true
+      }
+    }
+    similarity_calculator {
+      iou_similarity {
+      }
+    }
+    box_predictor {
+      weight_shared_convolutional_box_predictor {
+        conv_hyperparams {
+          regularizer {
+            l2_regularizer {
+              weight: 3.9999999e-05
+            }
+          }
+          initializer {
+            random_normal_initializer {
+              mean: 0.0
+              stddev: 0.0099999998
+            }
+          }
+          activation: RELU_6
+          batch_norm {
+            decay: 0.97000003
+            center: true
+            scale: true
+            epsilon: 0.001
+            train: true
+          }
+        }
+        depth: 512
+        num_layers_before_predictor: 1
+        kernel_size: 1
+        class_prediction_bias_init: -4.5999999
+        share_prediction_tower: true
+      }
+    }
+    anchor_generator {
+      ssd_anchor_generator {
+        num_layers: 6
+        min_scale: 0.15000001
+        max_scale: 0.94999999
+        aspect_ratios: 1.0
+        aspect_ratios: 2.0
+        aspect_ratios: 0.5
+        aspect_ratios: 3.0
+        aspect_ratios: 0.33329999
+        reduce_boxes_in_lowest_layer: false
+      }
+    }
+    post_processing {
+      batch_non_max_suppression {
+        score_threshold: 9.9999999e-09
+        iou_threshold: 0.60000002
+        max_detections_per_class: 100
+        max_total_detections: 100
+      }
+      score_converter: SIGMOID
+    }
+    normalize_loss_by_num_matches: true
+    loss {
+      localization_loss {
+        weighted_smooth_l1 {
+        }
+      }
+      classification_loss {
+        weighted_sigmoid_focal {
+          gamma: 2.0
+          alpha: 0.75
+        }
+      }
+      classification_weight: 1.0
+      localization_weight: 1.5
+    }
+    encode_background_as_zeros: true
+    normalize_loc_loss_by_codesize: true
+    inplace_batchnorm_update: true
+    freeze_batchnorm: false
+  }
+}
+train_config {
+  batch_size: 32
+  data_augmentation_options {
+    random_horizontal_flip {
+    }
+  }
+  data_augmentation_options {
+    ssd_random_crop {
+    }
+  }
+  sync_replicas: true
+  optimizer {
+    momentum_optimizer {
+      learning_rate {
+        cosine_decay_learning_rate {
+          learning_rate_base: 0.69999999
+          total_steps: 50000
+          warmup_learning_rate: 0.13330001
+          warmup_steps: 2000
+        }
+      }
+      momentum_optimizer_value: 0.89999998
+    }
+    use_moving_average: false
+  }
+  fine_tune_checkpoint: "gs://fire_land/data/model.ckpt"
+  num_steps: 50000
+  startup_delay_steps: 0.0
+  replicas_to_aggregate: 8
+  max_number_of_boxes: 100
+  unpad_groundtruth_tensors: false
+  use_bfloat16: false
+}
+train_input_reader {
+  label_map_path: "gs://fire_land/data/fire_label_map.pbtxt"
+  tf_record_input_reader {
+    input_path: "gs://fire_land/data/train.record"
+  }
+}
+eval_config {
+  num_examples: 65
+  metrics_set: "coco_detection_metrics"
+  use_moving_averages: false
+}
+eval_input_reader {
+  label_map_path: "gs://fire_land/data/fire_label_map.pbtxt"
+  shuffle: false
+  num_epochs: 1
+  num_readers: 1
+  tf_record_input_reader {
+    input_path: "gs://fire_land/data/val.record"
+  }
+  sample_1_of_n_examples: 1
+}

+# Training Report
+
+date: 2020 04 27 Mon
+
+model name: MobileNet based Single Shot MultiBox Detector with Pooling Pyramid Network
+
+input image size: 300 x 300
+
+entire steps: 50000
+
+best step: 32700
+
+batch size: 32
+
+number of samples for training: 300
+
+number of samples for validation: 65 
+
+metrics set: coco detection metrics
+
+
+
+### mAP@50IOU
+
+![mAP@50IOU](./imgs/mAP@50IOU.JPG)
+
+**[32700 - best step]**
+
+mAP@50IOU: 64%
+
+loss: 
+
+​	classification: 0.7869
+
+​	localization: 0.4739
+
+​	total: 1.418
+
+
+
+### Result
+
+![result1](./imgs/result1.JPG)
+
+![result2](./imgs/result2.JPG)
+
+
+
+### Comment
+
+need more fire data.
\ No newline at end of file