chore: continued working on #36
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@ -159,6 +159,7 @@ func trainDefinition(c *Context, model *BaseModel, definition_id string) (accura
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"DataDir": path.Join(getDir(), "savedData", model.Id, "data"),
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"DataDir": path.Join(getDir(), "savedData", model.Id, "data"),
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"RunPath": run_path,
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"RunPath": run_path,
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"ColorMode": model.ImageMode,
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"ColorMode": model.ImageMode,
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"Model": model,
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}); err != nil {
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}); err != nil {
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return
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return
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}
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}
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@ -166,7 +167,7 @@ func trainDefinition(c *Context, model *BaseModel, definition_id string) (accura
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// Run the command
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// Run the command
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out, err := exec.Command("bash", "-c", fmt.Sprintf("cd %s && python run.py", run_path)).Output()
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out, err := exec.Command("bash", "-c", fmt.Sprintf("cd %s && python run.py", run_path)).Output()
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if err != nil {
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if err != nil {
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fmt.Println(string(out))
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c.Logger.Debug(string(out))
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return
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return
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}
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}
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@ -32,7 +32,13 @@ def pathToLabel(path):
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#return tf.strings.as_string([path])
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#return tf.strings.as_string([path])
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def decode_image(img):
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def decode_image(img):
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{{ if eq .Model.Format "png" }}
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img = tf.io.decode_png(img, channels={{.ColorMode}})
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img = tf.io.decode_png(img, channels={{.ColorMode}})
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{{ else if eq .Model.Format "jpeg" }}
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img = tf.io.decode_jpeg(img, channels={{.ColorMode}})
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{{ else }}
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ERROR
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{{ end }}
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return tf.image.resize(img, image_size)
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return tf.image.resize(img, image_size)
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def process_path(path):
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def process_path(path):
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