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chore: Change repository structure
1 parent f2621b8 commit bb40e08

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‎ssd300_evaluation_COCO.ipynb‎

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@@ -18,9 +18,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"from keras import backend as K\n",
@@ -39,14 +37,14 @@
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"from pycocotools.coco import COCO\n",
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"from pycocotools.cocoeval import COCOeval\n",
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"\n",
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"from keras_ssd300 import ssd_300\n",
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"from keras_ssd_loss import SSDLoss\n",
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"from keras_layer_AnchorBoxes import AnchorBoxes\n",
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"from keras_layer_L2Normalization import L2Normalization\n",
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"from keras_layer_DecodeDetections import DecodeDetections\n",
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"from keras_layer_DecodeDetections2 import DecodeDetections2\n",
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"from ssd_batch_generator import BatchGenerator\n",
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"from coco_utils import get_coco_category_maps, predict_all_to_json\n",
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"from models.keras_ssd300 import ssd_300\n",
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"from keras_loss_function.keras_ssd_loss import SSDLoss\n",
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"from keras_layers.keras_layer_AnchorBoxes import AnchorBoxes\n",
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"from keras_layers.keras_layer_DecodeDetections import DecodeDetections\n",
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"from keras_layers.keras_layer_DecodeDetections2 import DecodeDetections2\n",
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"from keras_layers.keras_layer_L2Normalization import L2Normalization\n",
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"from data_generator.ssd_batch_generator import BatchGenerator\n",
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"from eval_utils.coco_utils import get_coco_category_maps, predict_all_to_json\n",
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"\n",
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"%matplotlib inline"
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]

‎ssd300_evaluation_Pascal_VOC.ipynb‎

Lines changed: 9 additions & 12 deletions
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@@ -14,9 +14,7 @@
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"from keras import backend as K\n",
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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"from keras_ssd300 import ssd_300\n",
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"from keras_ssd_loss import SSDLoss\n",
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"from keras_layer_AnchorBoxes import AnchorBoxes\n",
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"from keras_layer_L2Normalization import L2Normalization\n",
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"from keras_layer_DecodeDetections import DecodeDetections\n",
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"from keras_layer_DecodeDetections2 import DecodeDetections2\n",
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"from ssd_box_encode_decode_utils import SSDBoxEncoder\n",
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"from ssd_batch_generator import BatchGenerator\n",
37-
"from pascal_voc_utils import predict_all_to_txt\n",
27+
"from models.keras_ssd300 import ssd_300\n",
28+
"from keras_loss_function.keras_ssd_loss import SSDLoss\n",
29+
"from keras_layers.keras_layer_AnchorBoxes import AnchorBoxes\n",
30+
"from keras_layers.keras_layer_DecodeDetections import DecodeDetections\n",
31+
"from keras_layers.keras_layer_DecodeDetections2 import DecodeDetections2\n",
32+
"from keras_layers.keras_layer_L2Normalization import L2Normalization\n",
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"from data_generator.ssd_batch_generator import BatchGenerator\n",
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"from eval_utils.pascal_voc_utils import predict_all_to_txt\n",
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"\n",
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"%matplotlib inline"
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]

‎ssd300_inference.ipynb‎

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@@ -25,14 +25,14 @@
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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"from keras_ssd300 import ssd_300\n",
29-
"from keras_ssd_loss import SSDLoss\n",
30-
"from keras_layer_AnchorBoxes import AnchorBoxes\n",
31-
"from keras_layer_L2Normalization import L2Normalization\n",
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"from keras_layer_DecodeDetections import DecodeDetections\n",
33-
"from keras_layer_DecodeDetections2 import DecodeDetections2\n",
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"from ssd_box_encode_decode_utils import decode_y, decode_y2\n",
35-
"from ssd_batch_generator import BatchGenerator\n",
28+
"from models.keras_ssd300 import ssd_300\n",
29+
"from keras_loss_function.keras_ssd_loss import SSDLoss\n",
30+
"from keras_layers.keras_layer_AnchorBoxes import AnchorBoxes\n",
31+
"from keras_layers.keras_layer_DecodeDetections import DecodeDetections\n",
32+
"from keras_layers.keras_layer_DecodeDetections2 import DecodeDetections2\n",
33+
"from keras_layers.keras_layer_L2Normalization import L2Normalization\n",
34+
"from ssd_box_utils.ssd_box_encode_decode_utils import decode_y, decode_y2\n",
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"from data_generator.ssd_batch_generator import BatchGenerator\n",
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"\n",
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"%matplotlib inline"
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]

‎ssd300_training.ipynb‎

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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"from keras_ssd300 import ssd_300\n",
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"from keras_ssd_loss import SSDLoss\n",
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"from keras_layer_AnchorBoxes import AnchorBoxes\n",
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"from keras_layer_L2Normalization import L2Normalization\n",
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"from keras_layer_DecodeDetections import DecodeDetections\n",
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"from keras_layer_DecodeDetections2 import DecodeDetections2\n",
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"from ssd_box_encode_decode_utils import SSDBoxEncoder, decode_y, decode_y2\n",
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"from ssd_batch_generator import BatchGenerator\n",
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"from models.keras_ssd300 import ssd_300\n",
35+
"from keras_loss_function.keras_ssd_loss import SSDLoss\n",
36+
"from keras_layers.keras_layer_AnchorBoxes import AnchorBoxes\n",
37+
"from keras_layers.keras_layer_DecodeDetections import DecodeDetections\n",
38+
"from keras_layers.keras_layer_DecodeDetections2 import DecodeDetections2\n",
39+
"from keras_layers.keras_layer_L2Normalization import L2Normalization\n",
40+
"from ssd_box_utils.ssd_box_encode_decode_utils import SSDBoxEncoder, decode_y, decode_y2\n",
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"from data_generator.ssd_batch_generator import BatchGenerator\n",
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"\n",
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"%matplotlib inline"
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]

‎ssd512_inference.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"metadata": {
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"collapsed": true
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},
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from keras import backend as K\n",
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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"from keras_ssd512 import ssd_512\n",
29-
"from keras_ssd_loss import SSDLoss\n",
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"from keras_layer_AnchorBoxes import AnchorBoxes\n",
31-
"from keras_layer_L2Normalization import L2Normalization\n",
32-
"from keras_layer_DecodeDetections import DecodeDetections\n",
33-
"from keras_layer_DecodeDetections2 import DecodeDetections2\n",
34-
"from ssd_box_encode_decode_utils import decode_y, decode_y2\n",
35-
"from ssd_batch_generator import BatchGenerator\n",
26+
"from models.keras_ssd512 import ssd_512\n",
27+
"from keras_loss_function.keras_ssd_loss import SSDLoss\n",
28+
"from keras_layers.keras_layer_AnchorBoxes import AnchorBoxes\n",
29+
"from keras_layers.keras_layer_DecodeDetections import DecodeDetections\n",
30+
"from keras_layers.keras_layer_DecodeDetections2 import DecodeDetections2\n",
31+
"from keras_layers.keras_layer_L2Normalization import L2Normalization\n",
32+
"from ssd_box_utils.ssd_box_encode_decode_utils import decode_y, decode_y2\n",
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"from data_generator.ssd_batch_generator import BatchGenerator\n",
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"\n",
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"%matplotlib inline"
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]

‎ssd7_training.ipynb‎

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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"from keras.optimizers import Adam\n",
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"import numpy as np\n",
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"from matplotlib import pyplot as plt\n",
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"\n",
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"from keras_ssd7 import build_model\n",
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"from keras_ssd_loss import SSDLoss\n",
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"from keras_layer_AnchorBoxes import AnchorBoxes\n",
34-
"from keras_layer_L2Normalization import L2Normalization\n",
35-
"from keras_layer_DecodeDetections import DecodeDetections\n",
36-
"from keras_layer_DecodeDetections2 import DecodeDetections2\n",
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"from ssd_box_encode_decode_utils import SSDBoxEncoder, decode_y, decode_y2\n",
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"from ssd_batch_generator import BatchGenerator\n",
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"from models.keras_ssd7 import build_model\n",
30+
"from keras_loss_function.keras_ssd_loss import SSDLoss\n",
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"from keras_layers.keras_layer_AnchorBoxes import AnchorBoxes\n",
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"from keras_layers.keras_layer_DecodeDetections import DecodeDetections\n",
33+
"from keras_layers.keras_layer_DecodeDetections2 import DecodeDetections2\n",
34+
"from ssd_box_utils.ssd_box_encode_decode_utils import SSDBoxEncoder, decode_y, decode_y2\n",
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"from data_generator.ssd_batch_generator import BatchGenerator\n",
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"\n",
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"%matplotlib inline"
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]

‎weight_sampling_tutorial.ipynb‎

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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": true
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},
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import h5py\n",
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"import numpy as np\n",
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"import shutil\n",
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"\n",
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"from tensor_sampling_utils import sample_tensors"
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"from misc_utils.tensor_sampling_utils import sample_tensors"
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]
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},
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{
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"from keras import backend as K\n",
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"from keras.models import load_model\n",
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"\n",
425-
"from keras_ssd300 import ssd_300\n",
426-
"from keras_ssd_loss import SSDLoss\n",
427-
"from keras_layer_AnchorBoxes import AnchorBoxes\n",
428-
"from keras_layer_L2Normalization import L2Normalization\n",
429-
"from keras_layer_DecodeDetections import DecodeDetections\n",
430-
"from keras_layer_DecodeDetections2 import DecodeDetections2\n",
431-
"from ssd_box_encode_decode_utils import decode_y, decode_y2\n",
432-
"from ssd_batch_generator import BatchGenerator"
423+
"from models.keras_ssd300 import ssd_300\n",
424+
"from keras_loss_function.keras_ssd_loss import SSDLoss\n",
425+
"from keras_layers.keras_layer_AnchorBoxes import AnchorBoxes\n",
426+
"from keras_layers.keras_layer_DecodeDetections import DecodeDetections\n",
427+
"from keras_layers.keras_layer_DecodeDetections2 import DecodeDetections2\n",
428+
"from keras_layers.keras_layer_L2Normalization import L2Normalization\n",
429+
"from ssd_box_utils.ssd_box_encode_decode_utils import decode_y, decode_y2\n",
430+
"from data_generator.ssd_batch_generator import BatchGenerator"
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]
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},
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{

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