Delete model

model/detect.tflite

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:60a17f18a2be3382d31502db3b251d3bad4b14f49091fba2b4555ace3041fee8
-size 11500088

model/detect_quant.tflite

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:0fea11d25221a20464d08f051aa9555c2f61974f13943cf2ac60f11b3c0af881
-size 3742392

model/edgetpu.tflite

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:632ff615f296f02ae6dbb6904a85a4417db0bfc986525f3ff7be4557d4ca3e2d
-size 4080512

model/labelmap.pbtxt

@@ -1,10 +0,0 @@
-item {
-  id: 1
-  name: 'empty'
-}
-
-item {
-  id: 2
-  name: 'misalignment'
-}
-

model/labelmap.txt

@@ -1,2 +0,0 @@
-empty
-misalignment

model/pipeline_file.config

@@ -1,201 +0,0 @@
-# SSD with Mobilenet v2 FPN-lite (go/fpn-lite) feature extractor, shared box
-# predictor and focal loss (a mobile version of Retinanet).
-# Retinanet: see Lin et al, https://arxiv.org/abs/1708.02002
-# Trained on COCO, initialized from Imagenet classification checkpoint
-# Train on TPU-8
-#
-# Achieves 22.2 mAP on COCO17 Val
-
-model {
-  ssd {
-    inplace_batchnorm_update: true
-    freeze_batchnorm: false
-    num_classes: 2
-    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 {
-      }
-    }
-    encode_background_as_zeros: true
-    anchor_generator {
-      multiscale_anchor_generator {
-        min_level: 3
-        max_level: 7
-        anchor_scale: 4.0
-        aspect_ratios: [1.0, 2.0, 0.5]
-        scales_per_octave: 2
-      }
-    }
-    image_resizer {
-      fixed_shape_resizer {
-        height: 320
-        width: 320
-      }
-    }
-    box_predictor {
-      weight_shared_convolutional_box_predictor {
-        depth: 128
-        class_prediction_bias_init: -4.6
-        conv_hyperparams {
-          activation: RELU_6,
-          regularizer {
-            l2_regularizer {
-              weight: 0.00004
-            }
-          }
-          initializer {
-            random_normal_initializer {
-              stddev: 0.01
-              mean: 0.0
-            }
-          }
-          batch_norm {
-            scale: true,
-            decay: 0.997,
-            epsilon: 0.001,
-          }
-        }
-        num_layers_before_predictor: 4
-        share_prediction_tower: true
-        use_depthwise: true
-        kernel_size: 3
-      }
-    }
-    feature_extractor {
-      type: 'ssd_mobilenet_v2_fpn_keras'
-      use_depthwise: true
-      fpn {
-        min_level: 3
-        max_level: 7
-        additional_layer_depth: 128
-      }
-      min_depth: 16
-      depth_multiplier: 1.0
-      conv_hyperparams {
-        activation: RELU_6,
-        regularizer {
-          l2_regularizer {
-            weight: 0.00004
-          }
-        }
-        initializer {
-          random_normal_initializer {
-            stddev: 0.01
-            mean: 0.0
-          }
-        }
-        batch_norm {
-          scale: true,
-          decay: 0.997,
-          epsilon: 0.001,
-        }
-      }
-      override_base_feature_extractor_hyperparams: true
-    }
-    loss {
-      classification_loss {
-        weighted_sigmoid_focal {
-          alpha: 0.25
-          gamma: 2.0
-        }
-      }
-      localization_loss {
-        weighted_smooth_l1 {
-        }
-      }
-      classification_weight: 1.0
-      localization_weight: 1.0
-    }
-    normalize_loss_by_num_matches: true
-    normalize_loc_loss_by_codesize: true
-    post_processing {
-      batch_non_max_suppression {
-        score_threshold: 1e-8
-        iou_threshold: 0.6
-        max_detections_per_class: 100
-        max_total_detections: 100
-      }
-      score_converter: SIGMOID
-    }
-  }
-}
-
-train_config: {
-  fine_tune_checkpoint_version: V2
-  fine_tune_checkpoint: "/content/models/mymodel/ssd_mobilenet_v2_fpnlite_320x320_coco17_tpu-8/checkpoint/ckpt-0"
-  fine_tune_checkpoint_type: "detection"
-  batch_size: 8
-  sync_replicas: true
-  startup_delay_steps: 0
-  replicas_to_aggregate: 8
-  num_steps: 5000
-  data_augmentation_options {
-    random_horizontal_flip {
-    }
-  }
-  data_augmentation_options {
-    random_crop_image {
-      min_object_covered: 0.0
-      min_aspect_ratio: 0.75
-      max_aspect_ratio: 3.0
-      min_area: 0.75
-      max_area: 1.0
-      overlap_thresh: 0.0
-    }
-  }
-  optimizer {
-    momentum_optimizer: {
-      learning_rate: {
-        cosine_decay_learning_rate {
-          learning_rate_base: .08
-          total_steps: 50000
-          warmup_learning_rate: .026666
-          warmup_steps: 1000
-        }
-      }
-      momentum_optimizer_value: 0.9
-    }
-    use_moving_average: false
-  }
-  max_number_of_boxes: 100
-  unpad_groundtruth_tensors: false
-}
-
-train_input_reader: {
-  label_map_path: "/content/labelmap.pbtxt"
-  tf_record_input_reader {
-    input_path: "/content/train.tfrecord"
-  }
-}
-
-eval_config: {
-  metrics_set: "coco_detection_metrics"
-  use_moving_averages: false
-}
-
-eval_input_reader: {
-  label_map_path: "/content/labelmap.pbtxt"
-  shuffle: false
-  num_epochs: 1
-  tf_record_input_reader {
-    input_path: "/content/val.tfrecord"
-  }
-}
-

model/saved_model/saved_model.pb

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:239f38b11177b9381683667a8e22d4e38b513b59fdba2361fb49924aea9357c3
-size 6820129

model/saved_model/variables/variables.data-00000-of-00001

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:be82168e6090af9093e021ae0e234ffad2deec17ef209d866197928a35f6db58
-size 10593838