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Commit ad3a9567 authored by Yeqing Li's avatar Yeqing Li Committed by A. Unique TensorFlower
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Updates binary paths in the README file. 

PiperOrigin-RevId: 414057732
parent 063cef34
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official/legacy/detection/README.md
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...@@ -30,7 +30,7 @@ RESNET_CHECKPOINT="<path to the pre-trained Resnet-50 checkpoint>" ...@@ -30,7 +30,7 @@ RESNET_CHECKPOINT="<path to the pre-trained Resnet-50 checkpoint>"
TRAIN_FILE_PATTERN="<path to the TFRecord training data>" TRAIN_FILE_PATTERN="<path to the TFRecord training data>"
EVAL_FILE_PATTERN="<path to the TFRecord validation data>" EVAL_FILE_PATTERN="<path to the TFRecord validation data>"
VAL_JSON_FILE="<path to the validation annotation JSON file>" VAL_JSON_FILE="<path to the validation annotation JSON file>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu="${TPU_NAME?}" \ --tpu="${TPU_NAME?}" \
--model_dir="${MODEL_DIR?}" \ --model_dir="${MODEL_DIR?}" \
...@@ -41,7 +41,7 @@ python3 ~/models/official/vision/detection/main.py \ ...@@ -41,7 +41,7 @@ python3 ~/models/official/vision/detection/main.py \
The pre-trained ResNet-50 checkpoint can be downloaded [here](https://storage.cloud.google.com/cloud-tpu-checkpoints/model-garden-vision/detection/resnet50-2018-02-07.tar.gz). The pre-trained ResNet-50 checkpoint can be downloaded [here](https://storage.cloud.google.com/cloud-tpu-checkpoints/model-garden-vision/detection/resnet50-2018-02-07.tar.gz).
Note: The ResNet implementation under Note: The ResNet implementation under
[detection/](https://github.com/tensorflow/models/tree/master/official/vision/detection) [detection/](https://github.com/tensorflow/models/tree/master/official/legacy/detection)
is currently different from the one under is currently different from the one under
[classification/](https://github.com/tensorflow/models/tree/master/official/vision/image_classification), [classification/](https://github.com/tensorflow/models/tree/master/official/vision/image_classification),
so the checkpoints are not compatible. so the checkpoints are not compatible.
...@@ -56,7 +56,7 @@ MODEL_DIR="<path to the directory to store model files>" ...@@ -56,7 +56,7 @@ MODEL_DIR="<path to the directory to store model files>"
TRAIN_FILE_PATTERN="<path to the TFRecord training data>" TRAIN_FILE_PATTERN="<path to the TFRecord training data>"
EVAL_FILE_PATTERN="<path to the TFRecord validation data>" EVAL_FILE_PATTERN="<path to the TFRecord validation data>"
VAL_JSON_FILE="<path to the validation annotation JSON file>" VAL_JSON_FILE="<path to the validation annotation JSON file>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu="${TPU_NAME?}" \ --tpu="${TPU_NAME?}" \
--model_dir="${MODEL_DIR?}" \ --model_dir="${MODEL_DIR?}" \
...@@ -87,7 +87,7 @@ following command. ...@@ -87,7 +87,7 @@ following command.
```bash ```bash
TPU_NAME="<your GCP TPU name>" TPU_NAME="<your GCP TPU name>"
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu="${TPU_NAME?}" \ --tpu="${TPU_NAME?}" \
--model_dir="${MODEL_DIR?}" \ --model_dir="${MODEL_DIR?}" \
...@@ -105,7 +105,7 @@ Multi-GPUs example (assuming there are 8GPU connected to the host): ...@@ -105,7 +105,7 @@ Multi-GPUs example (assuming there are 8GPU connected to the host):
```bash ```bash
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=mirrored \ --strategy_type=mirrored \
--num_gpus=8 \ --num_gpus=8 \
--model_dir="${MODEL_DIR?}" \ --model_dir="${MODEL_DIR?}" \
...@@ -115,7 +115,7 @@ python3 ~/models/official/vision/detection/main.py \ ...@@ -115,7 +115,7 @@ python3 ~/models/official/vision/detection/main.py \
```bash ```bash
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=one_device \ --strategy_type=one_device \
--num_gpus=1 \ --num_gpus=1 \
--model_dir="${MODEL_DIR?}" \ --model_dir="${MODEL_DIR?}" \
...@@ -126,7 +126,7 @@ python3 ~/models/official/vision/detection/main.py \ ...@@ -126,7 +126,7 @@ python3 ~/models/official/vision/detection/main.py \
An example with inline configuration (YAML or JSON format): An example with inline configuration (YAML or JSON format):
``` ```
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--model_dir=<model folder> \ --model_dir=<model folder> \
--strategy_type=one_device \ --strategy_type=one_device \
--num_gpus=1 \ --num_gpus=1 \
...@@ -160,7 +160,7 @@ RESNET_CHECKPOINT="<path to the pre-trained Resnet-50 checkpoint>" ...@@ -160,7 +160,7 @@ RESNET_CHECKPOINT="<path to the pre-trained Resnet-50 checkpoint>"
TRAIN_FILE_PATTERN="<path to the TFRecord training data>" TRAIN_FILE_PATTERN="<path to the TFRecord training data>"
EVAL_FILE_PATTERN="<path to the TFRecord validation data>" EVAL_FILE_PATTERN="<path to the TFRecord validation data>"
VAL_JSON_FILE="<path to the validation annotation JSON file>" VAL_JSON_FILE="<path to the validation annotation JSON file>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu=${TPU_NAME} \ --tpu=${TPU_NAME} \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -172,7 +172,7 @@ python3 ~/models/official/vision/detection/main.py \ ...@@ -172,7 +172,7 @@ python3 ~/models/official/vision/detection/main.py \
The pre-trained ResNet-50 checkpoint can be downloaded [here](https://storage.cloud.google.com/cloud-tpu-checkpoints/model-garden-vision/detection/resnet50-2018-02-07.tar.gz). The pre-trained ResNet-50 checkpoint can be downloaded [here](https://storage.cloud.google.com/cloud-tpu-checkpoints/model-garden-vision/detection/resnet50-2018-02-07.tar.gz).
Note: The ResNet implementation under Note: The ResNet implementation under
[detection/](https://github.com/tensorflow/models/tree/master/official/vision/detection) [detection/](https://github.com/tensorflow/models/tree/master/official/legacy/detection)
is currently different from the one under is currently different from the one under
[classification/](https://github.com/tensorflow/models/tree/master/official/vision/image_classification), [classification/](https://github.com/tensorflow/models/tree/master/official/vision/image_classification),
so the checkpoints are not compatible. so the checkpoints are not compatible.
...@@ -187,7 +187,7 @@ MODEL_DIR="<path to the directory to store model files>" ...@@ -187,7 +187,7 @@ MODEL_DIR="<path to the directory to store model files>"
TRAIN_FILE_PATTERN="<path to the TFRecord training data>" TRAIN_FILE_PATTERN="<path to the TFRecord training data>"
EVAL_FILE_PATTERN="<path to the TFRecord validation data>" EVAL_FILE_PATTERN="<path to the TFRecord validation data>"
VAL_JSON_FILE="<path to the validation annotation JSON file>" VAL_JSON_FILE="<path to the validation annotation JSON file>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu="${TPU_NAME?}" \ --tpu="${TPU_NAME?}" \
--model_dir="${MODEL_DIR?}" \ --model_dir="${MODEL_DIR?}" \
...@@ -218,7 +218,7 @@ following command. ...@@ -218,7 +218,7 @@ following command.
```bash ```bash
TPU_NAME="<your GCP TPU name>" TPU_NAME="<your GCP TPU name>"
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu=${TPU_NAME} \ --tpu=${TPU_NAME} \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -240,7 +240,7 @@ Multi-GPUs example (assuming there are 8GPU connected to the host): ...@@ -240,7 +240,7 @@ Multi-GPUs example (assuming there are 8GPU connected to the host):
```bash ```bash
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=mirrored \ --strategy_type=mirrored \
--num_gpus=8 \ --num_gpus=8 \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -251,7 +251,7 @@ python3 ~/models/official/vision/detection/main.py \ ...@@ -251,7 +251,7 @@ python3 ~/models/official/vision/detection/main.py \
```bash ```bash
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=one_device \ --strategy_type=one_device \
--num_gpus=1 \ --num_gpus=1 \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -263,7 +263,7 @@ python3 ~/models/official/vision/detection/main.py \ ...@@ -263,7 +263,7 @@ python3 ~/models/official/vision/detection/main.py \
An example with inline configuration (YAML or JSON format): An example with inline configuration (YAML or JSON format):
``` ```
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--model_dir=<model folder> \ --model_dir=<model folder> \
--strategy_type=one_device \ --strategy_type=one_device \
--num_gpus=1 \ --num_gpus=1 \
...@@ -297,7 +297,7 @@ TRAIN_FILE_PATTERN="<path to the TFRecord training data>" ...@@ -297,7 +297,7 @@ TRAIN_FILE_PATTERN="<path to the TFRecord training data>"
EVAL_FILE_PATTERN="<path to the TFRecord validation data>" EVAL_FILE_PATTERN="<path to the TFRecord validation data>"
VAL_JSON_FILE="<path to the validation annotation JSON file>" VAL_JSON_FILE="<path to the validation annotation JSON file>"
SHAPE_PRIOR_PATH="<path to shape priors>" SHAPE_PRIOR_PATH="<path to shape priors>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu=${TPU_NAME} \ --tpu=${TPU_NAME} \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -337,7 +337,7 @@ following command. ...@@ -337,7 +337,7 @@ following command.
```bash ```bash
TPU_NAME="<your GCP TPU name>" TPU_NAME="<your GCP TPU name>"
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu=${TPU_NAME} \ --tpu=${TPU_NAME} \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -359,7 +359,7 @@ Multi-GPUs example (assuming there are 8GPU connected to the host): ...@@ -359,7 +359,7 @@ Multi-GPUs example (assuming there are 8GPU connected to the host):
```bash ```bash
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=mirrored \ --strategy_type=mirrored \
--num_gpus=8 \ --num_gpus=8 \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -372,7 +372,7 @@ A single GPU example ...@@ -372,7 +372,7 @@ A single GPU example
```bash ```bash
MODEL_DIR="<path to the directory to store model files>" MODEL_DIR="<path to the directory to store model files>"
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--strategy_type=one_device \ --strategy_type=one_device \
--num_gpus=1 \ --num_gpus=1 \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
...@@ -385,7 +385,7 @@ python3 ~/models/official/vision/detection/main.py \ ...@@ -385,7 +385,7 @@ python3 ~/models/official/vision/detection/main.py \
An example with inline configuration (YAML or JSON format): An example with inline configuration (YAML or JSON format):
``` ```
python3 ~/models/official/vision/detection/main.py \ python3 ~/models/official/legacy/detection/main.py \
--model_dir=<model folder> \ --model_dir=<model folder> \
--strategy_type=one_device \ --strategy_type=one_device \
--num_gpus=1 \ --num_gpus=1 \
...@@ -407,7 +407,7 @@ use_tpu: False ...@@ -407,7 +407,7 @@ use_tpu: False
### Run the evaluation (after training) ### Run the evaluation (after training)
``` ```
python3 /usr/share/models/official/vision/detection/main.py \ python3 /usr/share/models/official/legacy/detection/main.py \
--strategy_type=tpu \ --strategy_type=tpu \
--tpu=${TPU_NAME} \ --tpu=${TPU_NAME} \
--model_dir=${MODEL_DIR} \ --model_dir=${MODEL_DIR} \
......
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