示例#1
0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from flash import Trainer
from flash.core.data import download_data
from flash.vision import ImageClassificationData, ImageClassifier

# 1. Download the data
download_data("https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip",
              'data/')

# 2. Load the model from a checkpoint
model = ImageClassifier.load_from_checkpoint(
    "https://flash-weights.s3.amazonaws.com/image_classification_model.pt")

# 3a. Predict what's on a few images! ants or bees?
predictions = model.predict([
    "data/hymenoptera_data/val/bees/65038344_52a45d090d.jpg",
    "data/hymenoptera_data/val/bees/590318879_68cf112861.jpg",
    "data/hymenoptera_data/val/ants/540543309_ddbb193ee5.jpg",
])
print(predictions)

# 3b. Or generate predictions with a whole folder!
datamodule = ImageClassificationData.from_folder(
    folder="data/hymenoptera_data/predict/")
predictions = Trainer().predict(model, datamodule=datamodule)
print(predictions)
示例#2
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文件： fine_tune.py 项目： zlapp/medium 
from flash import Trainer
from flash import download_data
from flash.vision import ImageClassificationData, ImageClassifier


# 1. Download the data
download_data("https://pl-flash-data.s3.amazonaws.com/hymenoptera_data.zip", 'data/')

# 2. Load the model from a checkpoint
model = ImageClassifier.load_from_checkpoint("image_classification_model.pt")

# 3a. Predict what's on a few images! ants or bees?
predictions = model.predict([
    "data/hymenoptera_data/test/ants/8124241_36b290d372.jpg",
    "data/hymenoptera_data/test/ants/147542264_79506478c2.jpg",
    "data/hymenoptera_data/test/ants/212100470_b485e7b7b9.jpg",
])
print(predictions)

# 3b. Generate predictions with a whole folder
datamodule = ImageClassificationData.from_folder(folder="data/hymenoptera_data/test/ants/")
predictions = Trainer().predict(model, datamodule=datamodule)
print(predictions)